From 39cfaad5bdf7b4456ba787383ed8ec8959e9f0dd Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Fri, 18 Aug 2023 10:09:16 +1200 Subject: [PATCH 01/37] schema/rdls_schema.json: Consistently prefix identifier titles --- .gitmodules | 3 +++ flatten-tool | 1 + schema/rdls_schema.json | 16 ++++++++-------- 3 files changed, 12 insertions(+), 8 deletions(-) create mode 160000 flatten-tool diff --git a/.gitmodules b/.gitmodules index 91a432db..99916243 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,3 +1,6 @@ [submodule "docs/_static/docson"] path = docs/_static/docson url = https://github.com/OpenDataServices/docson +[submodule "flatten-tool"] + path = flatten-tool + url = git@github.com:OpenDataServices/flatten-tool.git diff --git a/flatten-tool b/flatten-tool new file mode 160000 index 00000000..dad98371 --- /dev/null +++ b/flatten-tool @@ -0,0 +1 @@ +Subproject commit dad98371f45e99028eab30be883748afa1d6a81e diff --git a/schema/rdls_schema.json b/schema/rdls_schema.json index 0c03cbbc..42ee6dfe 100644 --- a/schema/rdls_schema.json +++ b/schema/rdls_schema.json @@ -17,7 +17,7 @@ ], "properties": { "id": { - "title": "Identifier", + "title": "Dataset identifier", "type": "string", "description": "A unique identifier for the dataset. Use of an HTTP URI is recommended.", "minLength": 1 @@ -931,7 +931,7 @@ ], "properties": { "id": { - "title": "Identifier", + "title": "Attribution identifier", "type": "string", "description": "A locally unique identifier for the attribution.", "minLength": 1 @@ -961,7 +961,7 @@ ], "properties": { "id": { - "title": "Identifier", + "title": "Related resource identifier", "type": "string", "description": "A locally unique identifier for the related resource.", "minLength": 1 @@ -1013,7 +1013,7 @@ ], "properties": { "id": { - "title": "Identifier", + "title": "Source identifier", "type": "string", "description": "A locally unique identifier for the source.", "minLength": 1 @@ -1433,7 +1433,7 @@ ], "properties": { "id": { - "title": "Identifier", + "title": "Gazetteer entry identifier", "type": "string", "description": "An identifier drawn from the gazetteer identified in `.scheme`.", "minLength": 1 @@ -1508,7 +1508,7 @@ ], "properties": { "id": { - "title": "Identifier", + "title": "Hazard identifier", "description": "A local identifier for this hazard.", "type": "string", "minLength": 1 @@ -1934,7 +1934,7 @@ ], "properties": { "id": { - "title": "Identifier", + "title": "Cost identifier", "type": "string", "description": "A locally unique identifier for this cost.", "minLength": 1 @@ -2372,7 +2372,7 @@ "minLength": 1 }, "id": { - "title": "ID", + "title": "Classification identifier", "description": "The classification code taken from the scheme.", "type": "string", "minLength": 1 From e3c4dd89cacb43898ba3e5cbc57f22a2ed1156f1 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Fri, 18 Aug 2023 10:10:07 +1200 Subject: [PATCH 02/37] schema/rdls_schema.json: Shorten component titles --- schema/rdls_schema.json | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/schema/rdls_schema.json b/schema/rdls_schema.json index 42ee6dfe..86cb76d8 100644 --- a/schema/rdls_schema.json +++ b/schema/rdls_schema.json @@ -132,7 +132,7 @@ "uniqueItems": true }, "hazard": { - "title": "Hazard dataset metadata", + "title": "Hazard metadata", "type": "object", "description": "Metadata that is specific to datasets that describe processes or phenomena that may cause loss of life, injury or other health impacts, property damage, social and economic disruption or environmental degradation.", "required": [ @@ -153,7 +153,7 @@ "minProperties": 1 }, "exposure": { - "title": "Exposure dataset metadata", + "title": "Exposure metadata", "type": "object", "description": "Metadata that is specific to datasets that describe the situation of people, infrastructure, housing, production capacities and other tangible human assets located in hazard-prone areas.", "required": [ @@ -195,7 +195,7 @@ "minProperties": 1 }, "vulnerability": { - "title": "Vulnerability dataset metadata", + "title": "Vulnerability metadata", "type": "object", "description": "Metadata that is specific to datasets that describe the physical fragility and vulnerability relationships in relation to specific hazards or combinations of individual hazards.", "required": [ @@ -600,7 +600,7 @@ "minProperties": 1 }, "loss": { - "title": "Loss dataset metadata", + "title": "Loss metadata", "type": "object", "description": "Metadata that is specific to datasets that describe the losses associated with people, infrastructure, housing, production capacities and other tangible human assets due to the occurrence of one or more hazards.", "required": [ From f2f34e2f5e63cfab5b4f2d3ea2f0c1a8c2694fb8 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Fri, 18 Aug 2023 11:28:22 +1200 Subject: [PATCH 03/37] docs/reference/schema.md: Add Fathom hazard example --- docs/reference/schema.md | 77 +++++++++--------- .../fathom/Hazard metadata_Event sets.csv | 6 ++ .../Hazard metadata_Event sets_Hazards.csv | 6 ++ examples/hazard/fathom/datasets.csv | 6 ++ examples/hazard/fathom/example.json | 36 ++++++++ examples/hazard/fathom/figure.png | Bin 0 -> 867983 bytes 6 files changed, 94 insertions(+), 37 deletions(-) create mode 100644 examples/hazard/fathom/Hazard metadata_Event sets.csv create mode 100644 examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv create mode 100644 examples/hazard/fathom/datasets.csv create mode 100644 examples/hazard/fathom/example.json create mode 100644 examples/hazard/fathom/figure.png diff --git a/docs/reference/schema.md b/docs/reference/schema.md index 9c5c47aa..b2dda373 100644 --- a/docs/reference/schema.md +++ b/docs/reference/schema.md @@ -132,10 +132,7 @@ The hazard component uses hazard_type, process_type and intensity_measure consis Uncertainty } ``` - -`````{tab-set} - -````{tab-item} Schema +The `hazard`` object has the following properties: ```{jsonschema} ../../docs/_readthedocs/html/rdls_schema.json --- @@ -145,51 +142,57 @@ addtargets: --- ``` +The following example shows RDLS metadata for the [Fathom Global Flood Map](https://www.fathom.global/product/global-flood-map/) in tabular format and JSON format: + +`````{tab-set} + +````{tab-item} Figure + +```{figure} ../../examples/hazard/fathom/figure.png +``` + ```` -````{tab-item} Examples +````{tab-item} Metadata (tabular) -Hazard data are most often represented by geospatial grids (raster); sometimes they are represented by points or polygons. +In tabular format, the metadata consists of three tables. To aid comprehension, the metadata is presented column wise using field titles. -**Flood hazard maps for Kabul** +```{csv-table-no-translate} Datasets +--- +stub-columns: 1 +widths: auto +file: ../../examples/hazard/fathom/datasets.csv +--- -Schema attributes for flood hazard map related to the occurrence probability of a river flood event with a return period of once in 100 years over Kabul, Afghanistan. The hydrological data used for modelling the intensity of floods is derived from observations over the period 1958-2001 (44 years). The hazard intensity is measured as water depth, in meters. These information cover all mandatory fields, and a few optional fields. +``` -![Screenshot](../img/hzd_fl_kabul.jpg) +```{csv-table-no-translate} Event sets +--- +stub-columns: 1 +widths: auto +file: ../../examples/hazard/fathom/Hazard metadata_Event sets.csv +--- -| **Required** | **Attribute** | **Example** | -| :----------: | ----------------------- | --------------- | -| \* | Hazard type | Flood | -| \* | Analysis type | Probabilistic | -| \* | Calculation method | Simulated | -| | Geographic area | Kabul | -| | Frequency type | Return Period | -| | Occurrence probability | 100 years | -| | Occurrence time (start) | 1958 | -| | Occurrence time (end) | 2001 | -| | Occurrence time (span) | 44 years | -| \* | Hazard process | River flood | -| \* | Unit of measure | Water depth (m) | +``` -**Earthquake hazard maps for Afghanistan** +```{csv-table-no-translate} Event set hazards +--- +stub-columns: 1 +widths: auto +file: ../../examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv +--- -Schema attributes for an earthquake hazard map related to an occurrence probability of an event with return period of once in 1000 years over Afghanistan. The seismic data catalogue behind the calculation of occurrence probability starts from year 800, covering a period of 1200 years. The hazard intensity is measured as Peak Ground Acceleration, expressed in (g). +``` -![Screenshot](../img/hzd_eq_afg.jpg) +```` -| **Required** | **Attribute** | **Example** | -| :----------: | ----------------------- | ------------- | -| \* | Hazard type | Earthquake | -| \* | Analysis type | Probabilistic | -| \* | Calculation method | Simulated | -| | Frequency type | Return Period | -| | Occurrence probability | 1000 years | -| | Occurrence time (start) | 800 | -| | Occurrence time (end) | 2001 | -| | Occurrence time (span) | 1200 years | -| \* | Hazard process | Ground motion | -| \* | Unit of measure | PGA (g) | +````{tab-item} Metadata (JSON) +```{eval-rst} +.. jsoninclude:: ../../examples/hazard/fathom/example.json + :jsonpointer: + :title: Example +``` ```` diff --git a/examples/hazard/fathom/Hazard metadata_Event sets.csv b/examples/hazard/fathom/Hazard metadata_Event sets.csv new file mode 100644 index 00000000..5bb640ff --- /dev/null +++ b/examples/hazard/fathom/Hazard metadata_Event sets.csv @@ -0,0 +1,6 @@ +Dataset identifier,1 +Event set identifier,1 +Analysis type,probabilistic +Calculation Method,simulated +Event count,10 +Occurrence range,1/10 to 1/1000 years diff --git a/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv new file mode 100644 index 00000000..12d1593d --- /dev/null +++ b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv @@ -0,0 +1,6 @@ +Dataset identifier,1 +Event set identifier,1 +Hazard identifier,1 +Hazard type,flood +Hazard processes,fluvial_flood;pluvial_flood +Intensity measure,fl_wd:m diff --git a/examples/hazard/fathom/datasets.csv b/examples/hazard/fathom/datasets.csv new file mode 100644 index 00000000..2d1c352d --- /dev/null +++ b/examples/hazard/fathom/datasets.csv @@ -0,0 +1,6 @@ +Dataset identifier,1 +Title,FATHOM Global flood hazard layer +Description,Probabilistic maps of flood hazard occurrence frequency by return period. +Risk data type,hazard +Spatial scale,global +License,Commercial diff --git a/examples/hazard/fathom/example.json b/examples/hazard/fathom/example.json new file mode 100644 index 00000000..a2175b2e --- /dev/null +++ b/examples/hazard/fathom/example.json @@ -0,0 +1,36 @@ +{ + "datasets": [ + { + "id": "1", + "title": "FATHOM Global flood hazard layer", + "description": "Probabilistic maps of flood hazard occurrence frequency by return period.", + "risk_data_type": "hazard", + "spatial": { + "scale": "global" + }, + "license": "Commercial", + "hazard": { + "event_sets": [ + { + "id": "1", + "analysis_type": "probabilistic", + "calculation_method": "simulated", + "event_count": 10, + "occurrence_range": "1/10 to 1/1000 years", + "hazards": [ + { + "id": "1", + "type": "flood", + "processes": [ + "fluvial_flood", + "pluvial_flood" + ], + "intensity_measure": "fl_wd:m" + } + ] + } + ] + } + } + ] +} diff --git a/examples/hazard/fathom/figure.png b/examples/hazard/fathom/figure.png new file 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z+-sn8BSh`7peu=wMN_7l!TwDf3obe}maLlc3?Y|ailF#x@>?BxGpe7xS4W%%u25m) z1PhGJg)LsdzGcg$IrnV@?_U4cH-@8rP(y;NVe(BOMk)T!m+Oiy*??U>Vvn``zh3{I bU*8K9RYX*KzdQANg?JQXm1U}=OoRRh4FM2F literal 0 HcmV?d00001 From 5b4c3e0950793ca3ea41a709d8429bb7dc4c2f4e Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Fri, 18 Aug 2023 11:28:56 +1200 Subject: [PATCH 04/37] manage.py: Generate flattened, transposed CSVs for examples --- flatten-tool | 2 +- manage.py | 36 ++++++++++++++++++++++++++ requirements.in | 1 + requirements.txt | 67 +++++++++++++++++++++++++++++++++++++++++++++--- 4 files changed, 102 insertions(+), 4 deletions(-) diff --git a/flatten-tool b/flatten-tool index dad98371..6a8e94d9 160000 --- a/flatten-tool +++ b/flatten-tool @@ -1 +1 @@ -Subproject commit dad98371f45e99028eab30be883748afa1d6a81e +Subproject commit 6a8e94d955fcab5c2ef818ac2b034503c2807579 diff --git a/manage.py b/manage.py index 7e88b230..7e23921b 100755 --- a/manage.py +++ b/manage.py @@ -18,6 +18,7 @@ referencedir = basedir / 'docs' / 'reference' schemadir = basedir / 'schema' codelistdir = schemadir / 'codelists' +exampledir = basedir / 'examples' def read_lines(filename): @@ -385,6 +386,41 @@ def pre_commit(): # Load schema schema = json_load('rdls_schema.json') + # Update examples + for example_path in glob.glob(f"{exampledir}/*/*/*.json"): + + subprocess.run([ + "flatten-tool", + "flatten", + "-s", + "schema/rdls_schema.json", + "-f", + "csv", + "--root-list-path", + "datasets", + "-m", + "datasets", + "-o", + f"{'/'.join(example_path.split('/')[:-1])}", + "--truncation-length", + "50", + "--use-titles", + "--remove-empty-schema-columns", + example_path + ]) + + for path in glob.glob(f"{exampledir}/*/*/*.csv"): + with open(path, 'r') as f: + # Transpose CSV files for column-wise presentation + rows = zip(*csv.reader(f)) + + with open(path, 'w') as f: + writer = csv.writer(f) + # Remove identifiers for brevity + # writer.writerows([row for row in rows if row[0].split(':')[-1] != 'Identifier']) + # Omit titles of parent objects + writer.writerows([[row[0].split(':')[-1]] + list(row[1:]) for row in rows]) + # Update schema.md update_schema_docs(schema) diff --git a/requirements.in b/requirements.in index 805bd237..84fc2ac5 100644 --- a/requirements.in +++ b/requirements.in @@ -17,3 +17,4 @@ jscc>=0.2.3 ocdskit jsonschema pygit2 +./flatten-tool diff --git a/requirements.txt b/requirements.txt index 65cc158c..fcd08c87 100644 --- a/requirements.txt +++ b/requirements.txt @@ -15,12 +15,18 @@ babel==2.11.0 # via # sphinx # sphinx-intl +backports-datetime-fromisoformat==2.0.0 + # via flattentool +btrees==5.0 + # via zodb cattrs==22.2.0 # via requests-cache certifi==2022.12.7 # via requests cffi==1.15.1 - # via pygit2 + # via + # persistent + # pygit2 charset-normalizer==2.1.0 # via requests click==8.1.3 @@ -29,6 +35,10 @@ click==8.1.3 # sphinx-intl colorama==0.4.6 # via sphinx-autobuild +contextlib2==21.6.0 + # via schema +defusedxml==0.7.1 + # via odfpy docutils==0.17.1 # via # myst-parser @@ -37,10 +47,18 @@ docutils==0.17.1 # sphinx-togglebutton # sphinxcontrib-opendataservices # sphinxcontrib-opendataservices-jsonschema +et-xmlfile==1.1.0 + # via openpyxl +flattentool @ file:///mnt/9E863086863060C7/GDrive/Work/Repositories/risk_data_library/rdl-standard/flatten-tool + # via -r requirements.in +geojson==3.0.1 + # via flattentool idna==3.4 # via requests ijson==3.2.0.post0 - # via ocdskit + # via + # flattentool + # ocdskit imagesize==1.4.1 # via sphinx iniconfig==2.0.0 @@ -61,6 +79,7 @@ jsonpointer==2.3 # sphinxcontrib-opendataservices-jsonschema jsonref==1.0.1 # via + # flattentool # jscc # ocdsextensionregistry # ocdskit @@ -70,6 +89,8 @@ jsonschema==4.17.3 # via -r requirements.in livereload==2.6.3 # via sphinx-autobuild +lxml==4.9.3 + # via flattentool markdown-it-py==2.1.0 # via # mdformat @@ -100,16 +121,26 @@ myst-parser==0.18.1 # -r requirements.in # sphinxcontrib-opendataservices # sphinxcontrib-opendataservices-jsonschema +numpy==1.25.2 + # via shapely ocdsextensionregistry==0.2.0 # via ocdskit ocdskit==1.1.5 # via -r requirements.in ocdsmerge==0.6.6 # via ocdskit +odfpy==1.4.1 + # via flattentool +openpyxl==3.1.2 + # via flattentool packaging==22.0 # via # pytest # sphinx +persistent==5.0 + # via + # btrees + # zodb platformdirs==3.5.1 # via requests-cache pluggy==1.0.0 @@ -125,7 +156,9 @@ pyrsistent==0.19.3 pytest==7.3.1 # via -r requirements.in pytz==2022.6 - # via babel + # via + # babel + # flattentool pyyaml==6.0 # via myst-parser requests==2.28.1 @@ -144,10 +177,15 @@ ruamel-yaml==0.17.32 # mdformat-myst ruamel-yaml-clib==0.2.7 # via ruamel-yaml +schema==0.7.5 + # via flattentool +shapely==2.0.1 + # via flattentool six==1.16.0 # via # livereload # url-normalize + # zodb snowballstemmer==2.2.0 # via sphinx sphinx==5.3.0 @@ -192,6 +230,8 @@ sphinxcontrib-serializinghtml==1.1.5 # via sphinx tornado==6.2 # via livereload +transaction==3.1.0 + # via zodb typing-extensions==4.4.0 # via myst-parser url-normalize==1.4.3 @@ -202,6 +242,27 @@ urllib3==1.26.11 # requests-cache wheel==0.40.0 # via sphinx-togglebutton +xmltodict==0.13.0 + # via flattentool +zc-lockfile==3.0.post1 + # via zodb +zc-zlibstorage==1.2.0 + # via flattentool +zconfig==4.0 + # via zodb +zodb==5.8.1 + # via + # flattentool + # zc-zlibstorage +zodbpickle==3.0.1 + # via zodb +zope-interface==6.0 + # via + # btrees + # persistent + # transaction + # zc-zlibstorage + # zodb # The following packages are considered to be unsafe in a requirements file: # setuptools From 8eed5374c846693be76ed8f2e8d5a00165ede493 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Fri, 18 Aug 2023 11:32:19 +1200 Subject: [PATCH 05/37] docs/reference/schema.md: Format markdown --- docs/reference/schema.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/reference/schema.md b/docs/reference/schema.md index b2dda373..fee4729a 100644 --- a/docs/reference/schema.md +++ b/docs/reference/schema.md @@ -132,12 +132,14 @@ The hazard component uses hazard_type, process_type and intensity_measure consis Uncertainty } ``` -The `hazard`` object has the following properties: + +The `hazard` object has the following properties: ```{jsonschema} ../../docs/_readthedocs/html/rdls_schema.json --- pointer: /properties/hazard -collapse: event_sets/0/hazards,event_sets/0/spatial,event_sets/0/temporal,event_sets/0/events +collapse: + event_sets/0/hazards,event_sets/0/spatial,event_sets/0/temporal,event_sets/0/events addtargets: --- ``` From 254ed0dc099026cbe2a3be16dd93d4059a22ecb4 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Fri, 18 Aug 2023 11:34:54 +1200 Subject: [PATCH 06/37] requirements: Remove local Flatten Tool directory --- requirements.in | 1 - requirements.txt | 67 +++--------------------------------------------- 2 files changed, 3 insertions(+), 65 deletions(-) diff --git a/requirements.in b/requirements.in index 84fc2ac5..805bd237 100644 --- a/requirements.in +++ b/requirements.in @@ -17,4 +17,3 @@ jscc>=0.2.3 ocdskit jsonschema pygit2 -./flatten-tool diff --git a/requirements.txt b/requirements.txt index fcd08c87..65cc158c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -15,18 +15,12 @@ babel==2.11.0 # via # sphinx # sphinx-intl -backports-datetime-fromisoformat==2.0.0 - # via flattentool -btrees==5.0 - # via zodb cattrs==22.2.0 # via requests-cache certifi==2022.12.7 # via requests cffi==1.15.1 - # via - # persistent - # pygit2 + # via pygit2 charset-normalizer==2.1.0 # via requests click==8.1.3 @@ -35,10 +29,6 @@ click==8.1.3 # sphinx-intl colorama==0.4.6 # via sphinx-autobuild -contextlib2==21.6.0 - # via schema -defusedxml==0.7.1 - # via odfpy docutils==0.17.1 # via # myst-parser @@ -47,18 +37,10 @@ docutils==0.17.1 # sphinx-togglebutton # sphinxcontrib-opendataservices # sphinxcontrib-opendataservices-jsonschema -et-xmlfile==1.1.0 - # via openpyxl -flattentool @ file:///mnt/9E863086863060C7/GDrive/Work/Repositories/risk_data_library/rdl-standard/flatten-tool - # via -r requirements.in -geojson==3.0.1 - # via flattentool idna==3.4 # via requests ijson==3.2.0.post0 - # via - # flattentool - # ocdskit + # via ocdskit imagesize==1.4.1 # via sphinx iniconfig==2.0.0 @@ -79,7 +61,6 @@ jsonpointer==2.3 # sphinxcontrib-opendataservices-jsonschema jsonref==1.0.1 # via - # flattentool # jscc # ocdsextensionregistry # ocdskit @@ -89,8 +70,6 @@ jsonschema==4.17.3 # via -r requirements.in livereload==2.6.3 # via sphinx-autobuild -lxml==4.9.3 - # via flattentool markdown-it-py==2.1.0 # via # mdformat @@ -121,26 +100,16 @@ myst-parser==0.18.1 # -r requirements.in # sphinxcontrib-opendataservices # sphinxcontrib-opendataservices-jsonschema -numpy==1.25.2 - # via shapely ocdsextensionregistry==0.2.0 # via ocdskit ocdskit==1.1.5 # via -r requirements.in ocdsmerge==0.6.6 # via ocdskit -odfpy==1.4.1 - # via flattentool -openpyxl==3.1.2 - # via flattentool packaging==22.0 # via # pytest # sphinx -persistent==5.0 - # via - # btrees - # zodb platformdirs==3.5.1 # via requests-cache pluggy==1.0.0 @@ -156,9 +125,7 @@ pyrsistent==0.19.3 pytest==7.3.1 # via -r requirements.in pytz==2022.6 - # via - # babel - # flattentool + # via babel pyyaml==6.0 # via myst-parser requests==2.28.1 @@ -177,15 +144,10 @@ ruamel-yaml==0.17.32 # mdformat-myst ruamel-yaml-clib==0.2.7 # via ruamel-yaml -schema==0.7.5 - # via flattentool -shapely==2.0.1 - # via flattentool six==1.16.0 # via # livereload # url-normalize - # zodb snowballstemmer==2.2.0 # via sphinx sphinx==5.3.0 @@ -230,8 +192,6 @@ sphinxcontrib-serializinghtml==1.1.5 # via sphinx tornado==6.2 # via livereload -transaction==3.1.0 - # via zodb typing-extensions==4.4.0 # via myst-parser url-normalize==1.4.3 @@ -242,27 +202,6 @@ urllib3==1.26.11 # requests-cache wheel==0.40.0 # via sphinx-togglebutton -xmltodict==0.13.0 - # via flattentool -zc-lockfile==3.0.post1 - # via zodb -zc-zlibstorage==1.2.0 - # via flattentool -zconfig==4.0 - # via zodb -zodb==5.8.1 - # via - # flattentool - # zc-zlibstorage -zodbpickle==3.0.1 - # via zodb -zope-interface==6.0 - # via - # btrees - # persistent - # transaction - # zc-zlibstorage - # zodb # The following packages are considered to be unsafe in a requirements file: # setuptools From 90a706a6b38f81eb3c097fb4dbb93d3dcd81993c Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Fri, 18 Aug 2023 11:36:48 +1200 Subject: [PATCH 07/37] .gitmodules: Use HTTP URLs for Read the Docs compatibility --- .gitmodules | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitmodules b/.gitmodules index 99916243..373d5356 100644 --- a/.gitmodules +++ b/.gitmodules @@ -3,4 +3,4 @@ url = https://github.com/OpenDataServices/docson [submodule "flatten-tool"] path = flatten-tool - url = git@github.com:OpenDataServices/flatten-tool.git + url = https://github.com/OpenDataServices/flatten-tool/ From a5ca2059439d51e4fcc5f6691e60e7ce059e6c0c Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Fri, 18 Aug 2023 11:52:09 +1200 Subject: [PATCH 08/37] examples: Use LF line terminator for CSV files --- .../hazard/fathom/Hazard metadata_Event sets.csv | 12 ++++++------ .../fathom/Hazard metadata_Event sets_Hazards.csv | 12 ++++++------ examples/hazard/fathom/datasets.csv | 12 ++++++------ manage.py | 4 +++- 4 files changed, 21 insertions(+), 19 deletions(-) diff --git a/examples/hazard/fathom/Hazard metadata_Event sets.csv b/examples/hazard/fathom/Hazard metadata_Event sets.csv index 5bb640ff..6a63818d 100644 --- a/examples/hazard/fathom/Hazard metadata_Event sets.csv +++ b/examples/hazard/fathom/Hazard metadata_Event sets.csv @@ -1,6 +1,6 @@ -Dataset identifier,1 -Event set identifier,1 -Analysis type,probabilistic -Calculation Method,simulated -Event count,10 -Occurrence range,1/10 to 1/1000 years +Dataset identifier,1 +Event set identifier,1 +Analysis type,probabilistic +Calculation Method,simulated +Event count,10 +Occurrence range,1/10 to 1/1000 years diff --git a/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv index 12d1593d..d7aa3c35 100644 --- a/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv +++ b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv @@ -1,6 +1,6 @@ -Dataset identifier,1 -Event set identifier,1 -Hazard identifier,1 -Hazard type,flood -Hazard processes,fluvial_flood;pluvial_flood -Intensity measure,fl_wd:m +Dataset identifier,1 +Event set identifier,1 +Hazard identifier,1 +Hazard type,flood +Hazard processes,fluvial_flood;pluvial_flood +Intensity measure,fl_wd:m diff --git a/examples/hazard/fathom/datasets.csv b/examples/hazard/fathom/datasets.csv index 2d1c352d..73082cad 100644 --- a/examples/hazard/fathom/datasets.csv +++ b/examples/hazard/fathom/datasets.csv @@ -1,6 +1,6 @@ -Dataset identifier,1 -Title,FATHOM Global flood hazard layer -Description,Probabilistic maps of flood hazard occurrence frequency by return period. -Risk data type,hazard -Spatial scale,global -License,Commercial +Dataset identifier,1 +Title,FATHOM Global flood hazard layer +Description,Probabilistic maps of flood hazard occurrence frequency by return period. +Risk data type,hazard +Spatial scale,global +License,Commercial diff --git a/manage.py b/manage.py index 7e23921b..dc3fdca2 100755 --- a/manage.py +++ b/manage.py @@ -406,6 +406,8 @@ def pre_commit(): "50", "--use-titles", "--remove-empty-schema-columns", + "--line-terminator", + "LF", example_path ]) @@ -415,7 +417,7 @@ def pre_commit(): rows = zip(*csv.reader(f)) with open(path, 'w') as f: - writer = csv.writer(f) + writer = csv.writer(f, lineterminator="\n") # Remove identifiers for brevity # writer.writerows([row for row in rows if row[0].split(':')[-1] != 'Identifier']) # Omit titles of parent objects From 78032e9725cc19646a65d582680e94f06e5de806 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Fri, 18 Aug 2023 11:52:24 +1200 Subject: [PATCH 09/37] tests: Exclude Flatten Tool --- tests/test_csv.py | 2 +- tests/test_json.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/test_csv.py b/tests/test_csv.py index 4090d285..b2aba7c9 100644 --- a/tests/test_csv.py +++ b/tests/test_csv.py @@ -29,7 +29,7 @@ def test_valid(): """ errors = 0 - for path, name, text, fieldnames, rows in walk_csv_data(): + for path, name, text, fieldnames, rows in walk_csv_data(excluded=('.git', '.ve', '_static', 'build', 'fixtures', 'flatten-tool', 'docson')): codelist = is_codelist(fieldnames) width = len(fieldnames) columns = [] diff --git a/tests/test_json.py b/tests/test_json.py index 91776eea..1a191381 100644 --- a/tests/test_json.py +++ b/tests/test_json.py @@ -11,7 +11,7 @@ def test_empty(): """Tests that files (JSON and other files) are not empty.""" - empty_files_paths = [path for path in get_empty_files() if "src/" not in path[0]] + empty_files_paths = [path for path in get_empty_files(excluded=('.git', '.ve', '_static', 'build', 'fixtures', 'flatten-tool', 'docson')) if "src/" not in path[0]] warn_and_assert(empty_files_paths, "{0} is empty, run: rm {0}", "Files are empty. See warnings below.") @@ -20,7 +20,7 @@ def test_indent(): Test that JSON files are indented properly. Note this test can often fail on problems that are not to do with indents. """ - misindented_files_paths = [path for path in get_misindented_files() if "src/" not in path[0]] + misindented_files_paths = [path for path in get_misindented_files(excluded=('.git', '.ve', '_static', 'build', 'fixtures', 'flatten-tool', 'docson')) if "src/" not in path[0]] warn_and_assert( misindented_files_paths, "{0} is not indented as expected", @@ -31,5 +31,5 @@ def test_indent(): def test_invalid_json(): """Test whether all JSON files can be parsed.""" warn_and_assert( - get_invalid_json_files(excluded=('.git', '.ve', '_static', 'build', 'fixtures', "_build")), "{0} is not valid JSON: {1}", "JSON files are invalid. See warnings below." + get_invalid_json_files(excluded=('.git', '.ve', '_static', 'build', 'fixtures', 'flatten-tool', 'docson')), "{0} is not valid JSON: {1}", "JSON files are invalid. See warnings below." ) From 31cb146fc00bba655df2b10f4bf962441a195c4d Mon Sep 17 00:00:00 2001 From: odscjen Date: Mon, 21 Aug 2023 15:14:00 +0100 Subject: [PATCH 10/37] add hazard aqueduct example json and updated hazard fathom json example --- examples/hazard/aqueduct/example.json | 73 ++++++++++++++ examples/hazard/aqueduct/figure.png | Bin 0 -> 643790 bytes .../hazard/fathom/rdls_hzd-FTH_docsample.json | 91 ++++++++++++++++++ 3 files changed, 164 insertions(+) create mode 100644 examples/hazard/aqueduct/example.json create mode 100644 examples/hazard/aqueduct/figure.png create mode 100644 examples/hazard/fathom/rdls_hzd-FTH_docsample.json diff --git a/examples/hazard/aqueduct/example.json b/examples/hazard/aqueduct/example.json new file mode 100644 index 00000000..c856738b --- /dev/null +++ b/examples/hazard/aqueduct/example.json @@ -0,0 +1,73 @@ +{ + "id": "https://www.wri.org/data/aqueduct-floods-hazard-maps", + "title": "Aqueduct Floods Hazard Maps", + "description": "Aqueduct Floods is an online platform that measures riverine and coastal flood risks under both current baseline conditions and future projections in 2030, 2050, an 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods enables its users to conduct comprehensive cost-benefit analysis to evaluate the value of dike flood protection strategies.", + "risk_data_type": "hazard", + "publisher": { + "name": "Water Resource Institute", + "url": "https://www.wri.org" + }, + "version": "2020", + "project": "Aqueduct", + "details": "The Aqueduct flood-hazard model is a global gridded dataset of flood hazard produced at the global scale. It provides flood water extent and depth for a range of pluvial and fluvial hazard scenarios, expressed as “return period”, which indicates the probability of occurrence (i.e. once in 2, 5, 10, 20, 50, 100, 250, 500 and 1000 years). The Data are at 1 km resolution and have a global coverage.", + "spatial": { + "scale": "global" + }, + "contact_point": { + "name": "Mattia Amadio", + "email": "mamadio@worldbank.org" + }, + "creator": { + "name": "Water Resource Institute" + }, + "license": "CC-BY-4.0", + "resources": [ + { + "id": "1", + "title": "Flood hazard maps ", + "description": "Collection of fluvial and pluvial hazard maps; baseline and climate scenarios", + "format": "geotiff", + "spatial_resolution": 1000, + "coordinate_system": "4326", + "url": "http://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html" + } + ], + "hazard": { + "event_sets": [ + { + "id": "1", + "analysis_type": "probabilistic", + "calculation_method": "simulated", + "event_count": 10, + "occurrence_range": "1/2 to 1/1000 years", + "spatial": { + "scale": "global" + }, + "hazards": [ + { + "id": "1", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + { + "id": "2", + "type": "flood", + "processes": [ + "coastal_flood" + ], + "intensity_measure": "fl_wd:m" + } + ] + } + ] + }, + "links": [ + { + "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", + "rel": "describedBy" + } + ] +} diff --git a/examples/hazard/aqueduct/figure.png b/examples/hazard/aqueduct/figure.png new file mode 100644 index 0000000000000000000000000000000000000000..b02715fee269c26d1567eb13948d90217091b597 GIT binary patch literal 643790 zcmV(`K-0g8P)2q>7?-PobLIRTz9%|-Q3*fY-e|O2et?z2q+;f{Gac8 zee~@8Uj!6UH(x*3d%5?0Pd?|I=li6~i4!NXQ3#idiwjPrq~XKyGvV*+jYn?o4OiD9 zSh{f+p8H|~+BB?%QT;oke)S3nKNf?y6A5_m!*NJXO~=x2N8|MA(}mE=OH)O5b~gGv z`YwKW=^m5~ERHPs+u7w>qzK&I-QaTOM{CSd({Mz_BU#4IdP;wkKRi9$QL9o}WMrNO zpY`x?LlJpq=Yep<#V6tIanrGB`(F6^`664!?{*pAhlln8+rw88c_usC1z${@gQsul ziyx;i!5g3d3KaE*3^*#5FOAusJcG21%u6#c|DjSj-n=;Gy!dx|dOA*>I)#{+7&4I9CzQ55Jw2`Q&dkiTe&hG9uCCT|yg1Gt9v;>`W_=gl zYFO=fXY4e5Ew2ae8h}^s9*D$KDHl^@j?c2qClZn{;-$~=%c~EdOrSqf(lgF(5tpRW 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z1YE@5`})77fvO4~M`d97h93|V_>^BLilHpzQjCViNrafkpd5WAR#1_!CB+#6SQM>d zW%k*eg1omN!n+vqd@}e9CD~PQjgP^NyAe2j;W12_nqz21U8?u_AxSj~c20!L`=&xM znsWaNf^$mZG($vXEknY@Q*ig`Gbk9DppIP?)Ti)8YET3oJ$j01{X3v;m9ifrW7z2s yh>=alent)20SxHS1l~_y!GiE};a~H=di@^(pC;!8WgbcZ0000 Date: Mon, 21 Aug 2023 15:20:12 +0100 Subject: [PATCH 11/37] run manage.py to generate example csvs --- examples/hazard/aqueduct/datasets.csv | 0 .../hazard/fathom/Hazard metadata_Event sets_Haza.csv | 6 ++++++ .../hazard/fathom/Hazard metadata_Event sets_Hazards.csv | 8 ++------ 3 files changed, 8 insertions(+), 6 deletions(-) create mode 100644 examples/hazard/aqueduct/datasets.csv create mode 100644 examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv diff --git a/examples/hazard/aqueduct/datasets.csv b/examples/hazard/aqueduct/datasets.csv new file mode 100644 index 00000000..e69de29b diff --git a/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv b/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv new file mode 100644 index 00000000..d7aa3c35 --- /dev/null +++ b/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv @@ -0,0 +1,6 @@ +Dataset identifier,1 +Event set identifier,1 +Hazard identifier,1 +Hazard type,flood +Hazard processes,fluvial_flood;pluvial_flood +Intensity measure,fl_wd:m diff --git a/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv index d7aa3c35..d4511b1d 100644 --- a/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv +++ b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv @@ -1,6 +1,2 @@ -Dataset identifier,1 -Event set identifier,1 -Hazard identifier,1 -Hazard type,flood -Hazard processes,fluvial_flood;pluvial_flood -Intensity measure,fl_wd:m +Dataset identifier,Event set identifier,Hazard identifier,Hazard type,Hazard processes,Intensity measure +1,1,1,flood,fluvial_flood;pluvial_flood,fl_wd:m From 1a36aa9d32d57f423d67bccca3e7b2b919853273 Mon Sep 17 00:00:00 2001 From: odscjen Date: Mon, 21 Aug 2023 15:34:51 +0100 Subject: [PATCH 12/37] run manage.py again --- .../hazard/fathom/Hazard metadata_Event sets_Hazards.csv | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv index d4511b1d..d7aa3c35 100644 --- a/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv +++ b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv @@ -1,2 +1,6 @@ -Dataset identifier,Event set identifier,Hazard identifier,Hazard type,Hazard processes,Intensity measure -1,1,1,flood,fluvial_flood;pluvial_flood,fl_wd:m +Dataset identifier,1 +Event set identifier,1 +Hazard identifier,1 +Hazard type,flood +Hazard processes,fluvial_flood;pluvial_flood +Intensity measure,fl_wd:m From 5e3291c61d108b8e127a6765109f7d54f148f452 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Tue, 22 Aug 2023 09:06:58 +1200 Subject: [PATCH 13/37] .gitmodules: Use Flatten Tool sheet-name-length branch --- .gitmodules | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitmodules b/.gitmodules index 373d5356..a227396f 100644 --- a/.gitmodules +++ b/.gitmodules @@ -3,4 +3,4 @@ url = https://github.com/OpenDataServices/docson [submodule "flatten-tool"] path = flatten-tool - url = https://github.com/OpenDataServices/flatten-tool/ + url = https://github.com/OpenDataServices/flatten-tool/tree/sheet-name-length From 0c5536ca362113fc76c69743c0c695ee7983316e Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Tue, 22 Aug 2023 09:07:37 +1200 Subject: [PATCH 14/37] manage.py: Update pre-commit script --- manage.py | 40 ++++++++++++---------------------------- 1 file changed, 12 insertions(+), 28 deletions(-) diff --git a/manage.py b/manage.py index dc3fdca2..d601d34e 100755 --- a/manage.py +++ b/manage.py @@ -380,46 +380,30 @@ def cli(): @cli.command() def pre_commit(): - """Update reference documentation and format Markdown files + """Update example CSV files, update reference documentation and format Markdown files. """ # Load schema schema = json_load('rdls_schema.json') - # Update examples - for example_path in glob.glob(f"{exampledir}/*/*/*.json"): - - subprocess.run([ - "flatten-tool", - "flatten", - "-s", - "schema/rdls_schema.json", - "-f", - "csv", - "--root-list-path", - "datasets", - "-m", - "datasets", - "-o", - f"{'/'.join(example_path.split('/')[:-1])}", - "--truncation-length", - "50", - "--use-titles", - "--remove-empty-schema-columns", - "--line-terminator", - "LF", - example_path - ]) + # Remove example CSV files + for path in glob.glob(f"{exampledir}/*/*/*.csv"): + os.remove(path) + # Generate example CSV files + for example_path in glob.glob(f"{exampledir}/*/*/example.json"): + + command = f"flatten-tool flatten -s schema/rdls_schema.json -f csv --root-list-path datasets -m datasets -o {'/'.join(example_path.split('/')[:-1])} --truncation-length 50 --use-titles --remove-empty-schema-columns --line-terminator LF {example_path}" + + subprocess.run(command.split(" ")) + for path in glob.glob(f"{exampledir}/*/*/*.csv"): with open(path, 'r') as f: - # Transpose CSV files for column-wise presentation + # Transpose example CSV files for column-wise presentation rows = zip(*csv.reader(f)) with open(path, 'w') as f: writer = csv.writer(f, lineterminator="\n") - # Remove identifiers for brevity - # writer.writerows([row for row in rows if row[0].split(':')[-1] != 'Identifier']) # Omit titles of parent objects writer.writerows([[row[0].split(':')[-1]] + list(row[1:]) for row in rows]) From 2d03f73b5fd8fd9117a6d598359c0913672cc1d1 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Tue, 22 Aug 2023 09:08:16 +1200 Subject: [PATCH 15/37] examples/hazard/aqueduct/example.json: Add outer datasets array --- examples/hazard/aqueduct/example.json | 132 +++++++++++++------------- 1 file changed, 68 insertions(+), 64 deletions(-) diff --git a/examples/hazard/aqueduct/example.json b/examples/hazard/aqueduct/example.json index c856738b..012699b6 100644 --- a/examples/hazard/aqueduct/example.json +++ b/examples/hazard/aqueduct/example.json @@ -1,73 +1,77 @@ { - "id": "https://www.wri.org/data/aqueduct-floods-hazard-maps", - "title": "Aqueduct Floods Hazard Maps", - "description": "Aqueduct Floods is an online platform that measures riverine and coastal flood risks under both current baseline conditions and future projections in 2030, 2050, an 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods enables its users to conduct comprehensive cost-benefit analysis to evaluate the value of dike flood protection strategies.", - "risk_data_type": "hazard", - "publisher": { - "name": "Water Resource Institute", - "url": "https://www.wri.org" - }, - "version": "2020", - "project": "Aqueduct", - "details": "The Aqueduct flood-hazard model is a global gridded dataset of flood hazard produced at the global scale. It provides flood water extent and depth for a range of pluvial and fluvial hazard scenarios, expressed as “return period”, which indicates the probability of occurrence (i.e. once in 2, 5, 10, 20, 50, 100, 250, 500 and 1000 years). The Data are at 1 km resolution and have a global coverage.", - "spatial": { - "scale": "global" - }, - "contact_point": { - "name": "Mattia Amadio", - "email": "mamadio@worldbank.org" - }, - "creator": { - "name": "Water Resource Institute" - }, - "license": "CC-BY-4.0", - "resources": [ + "datasets": [ { - "id": "1", - "title": "Flood hazard maps ", - "description": "Collection of fluvial and pluvial hazard maps; baseline and climate scenarios", - "format": "geotiff", - "spatial_resolution": 1000, - "coordinate_system": "4326", - "url": "http://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html" - } - ], - "hazard": { - "event_sets": [ - { - "id": "1", - "analysis_type": "probabilistic", - "calculation_method": "simulated", - "event_count": 10, - "occurrence_range": "1/2 to 1/1000 years", - "spatial": { - "scale": "global" - }, - "hazards": [ + "id": "https://www.wri.org/data/aqueduct-floods-hazard-maps", + "title": "Aqueduct Floods Hazard Maps", + "description": "Aqueduct Floods is an online platform that measures riverine and coastal flood risks under both current baseline conditions and future projections in 2030, 2050, an 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods enables its users to conduct comprehensive cost-benefit analysis to evaluate the value of dike flood protection strategies.", + "risk_data_type": "hazard", + "publisher": { + "name": "Water Resource Institute", + "url": "https://www.wri.org" + }, + "version": "2020", + "project": "Aqueduct", + "details": "The Aqueduct flood-hazard model is a global gridded dataset of flood hazard produced at the global scale. It provides flood water extent and depth for a range of pluvial and fluvial hazard scenarios, expressed as “return period”, which indicates the probability of occurrence (i.e. once in 2, 5, 10, 20, 50, 100, 250, 500 and 1000 years). The Data are at 1 km resolution and have a global coverage.", + "spatial": { + "scale": "global" + }, + "contact_point": { + "name": "Mattia Amadio", + "email": "mamadio@worldbank.org" + }, + "creator": { + "name": "Water Resource Institute" + }, + "license": "CC-BY-4.0", + "resources": [ + { + "id": "1", + "title": "Flood hazard maps ", + "description": "Collection of fluvial and pluvial hazard maps; baseline and climate scenarios", + "format": "geotiff", + "spatial_resolution": 1000, + "coordinate_system": "4326", + "url": "http://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html" + } + ], + "hazard": { + "event_sets": [ { "id": "1", - "type": "flood", - "processes": [ - "fluvial_flood" - ], - "intensity_measure": "fl_wd:m" - }, - { - "id": "2", - "type": "flood", - "processes": [ - "coastal_flood" - ], - "intensity_measure": "fl_wd:m" + "analysis_type": "probabilistic", + "calculation_method": "simulated", + "event_count": 10, + "occurrence_range": "1/2 to 1/1000 years", + "spatial": { + "scale": "global" + }, + "hazards": [ + { + "id": "1", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + { + "id": "2", + "type": "flood", + "processes": [ + "coastal_flood" + ], + "intensity_measure": "fl_wd:m" + } + ] } ] - } - ] - }, - "links": [ - { - "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", - "rel": "describedBy" + }, + "links": [ + { + "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", + "rel": "describedBy" + } + ] } ] } From 34ee605299231a47a0d41288d45b938fe7ca1df7 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Tue, 22 Aug 2023 09:08:26 +1200 Subject: [PATCH 16/37] example: Update CSV files --- .../hazard/aqueduct/Hazard metadata_Event sets.csv | 7 +++++++ .../Hazard metadata_Event sets_Hazards.csv | 6 ++++++ examples/hazard/aqueduct/Links.csv | 3 +++ examples/hazard/aqueduct/Resources.csv | 8 ++++++++ examples/hazard/aqueduct/datasets.csv | 14 ++++++++++++++ .../fathom/Hazard metadata_Event sets_Haza.csv | 6 ------ 6 files changed, 38 insertions(+), 6 deletions(-) create mode 100644 examples/hazard/aqueduct/Hazard metadata_Event sets.csv create mode 100644 examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv create mode 100644 examples/hazard/aqueduct/Links.csv create mode 100644 examples/hazard/aqueduct/Resources.csv delete mode 100644 examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv diff --git a/examples/hazard/aqueduct/Hazard metadata_Event sets.csv b/examples/hazard/aqueduct/Hazard metadata_Event sets.csv new file mode 100644 index 00000000..eb30c7cd --- /dev/null +++ b/examples/hazard/aqueduct/Hazard metadata_Event sets.csv @@ -0,0 +1,7 @@ +Dataset identifier,https://www.wri.org/data/aqueduct-floods-hazard-maps +Event set identifier,1 +Analysis type,probabilistic +Calculation Method,simulated +Event count,10 +Occurrence range,1/2 to 1/1000 years +Spatial scale,global diff --git a/examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv b/examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv new file mode 100644 index 00000000..f0bf1995 --- /dev/null +++ b/examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv @@ -0,0 +1,6 @@ +Dataset identifier,https://www.wri.org/data/aqueduct-floods-hazard-maps,https://www.wri.org/data/aqueduct-floods-hazard-maps +Event set identifier,1,1 +Hazard identifier,1,2 +Hazard type,flood,flood +Hazard processes,fluvial_flood,coastal_flood +Intensity measure,fl_wd:m,fl_wd:m diff --git a/examples/hazard/aqueduct/Links.csv b/examples/hazard/aqueduct/Links.csv new file mode 100644 index 00000000..4634fc5e --- /dev/null +++ b/examples/hazard/aqueduct/Links.csv @@ -0,0 +1,3 @@ +Dataset identifier,https://www.wri.org/data/aqueduct-floods-hazard-maps +Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json +Link relation type,describedBy diff --git a/examples/hazard/aqueduct/Resources.csv b/examples/hazard/aqueduct/Resources.csv new file mode 100644 index 00000000..37378c53 --- /dev/null +++ b/examples/hazard/aqueduct/Resources.csv @@ -0,0 +1,8 @@ +Dataset identifier,https://www.wri.org/data/aqueduct-floods-hazard-maps +Resource identifier,1 +Resource title,Flood hazard maps +Resource description,Collection of fluvial and pluvial hazard maps; baseline and climate scenarios +Format,geotiff +Spatial resolution,1000 +Reference coordinate system,4326 +Url,http://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html diff --git a/examples/hazard/aqueduct/datasets.csv b/examples/hazard/aqueduct/datasets.csv index e69de29b..27728fe7 100644 --- a/examples/hazard/aqueduct/datasets.csv +++ b/examples/hazard/aqueduct/datasets.csv @@ -0,0 +1,14 @@ +Dataset identifier,https://www.wri.org/data/aqueduct-floods-hazard-maps +Title,Aqueduct Floods Hazard Maps +Description,"Aqueduct Floods is an online platform that measures riverine and coastal flood risks under both current baseline conditions and future projections in 2030, 2050, an 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods enables its users to conduct comprehensive cost-benefit analysis to evaluate the value of dike flood protection strategies." +Risk data type,hazard +Name,Water Resource Institute +URL,https://www.wri.org +Dataset version,2020 +Project title,Aqueduct +Additional details,"The Aqueduct flood-hazard model is a global gridded dataset of flood hazard produced at the global scale. It provides flood water extent and depth for a range of pluvial and fluvial hazard scenarios, expressed as “return period”, which indicates the probability of occurrence (i.e. once in 2, 5, 10, 20, 50, 100, 250, 500 and 1000 years). The Data are at 1 km resolution and have a global coverage." +Spatial scale,global +Name,Mattia Amadio +Email address,mamadio@worldbank.org +Name,Water Resource Institute +License,CC-BY-4.0 diff --git a/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv b/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv deleted file mode 100644 index d7aa3c35..00000000 --- a/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv +++ /dev/null @@ -1,6 +0,0 @@ -Dataset identifier,1 -Event set identifier,1 -Hazard identifier,1 -Hazard type,flood -Hazard processes,fluvial_flood;pluvial_flood -Intensity measure,fl_wd:m From 8871bfe18195406fd5d67b3222f32ede1738af9d Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Tue, 22 Aug 2023 09:09:19 +1200 Subject: [PATCH 17/37] developer_docs.md: Add how-to guide for adding an example --- developer_docs.md | 25 +++++++++++++++++++++++-- 1 file changed, 23 insertions(+), 2 deletions(-) diff --git a/developer_docs.md b/developer_docs.md index 4c36e9ac..ba03474f 100644 --- a/developer_docs.md +++ b/developer_docs.md @@ -15,8 +15,9 @@ This section contains the following how-to guides: * [Resolve check failures](#resolve-check-failures) * [Build the documentation](#build-the-documentation) * [Deploy changes](#deploy-changes) -* [Release a new version](#release-a-new-version) +* [Release a new version](#developer_docs.mdrelease-a-new-version) * [Update requirements](#update-requirements) +* [Add an RDLS metadata example](#add-an-rdls-metadata-example) ### Propose changes @@ -201,6 +202,25 @@ To deploy the `dev` branch to the live documentation site, [create a pull reques ``` 1. Commit your changes. + +## Add an RDLS metadata example + +1. Author your example RDLS metadata in JSON format. You can use either a text editor or the [RDLS spreadsheet template](https://github.com/GFDRR/rdls-spreadsheet-template/) and [Flatten Tool](https://flatten-tool.readthedocs.io/en/latest/). Your example RDLS metadata must be wrapped in an outer `datasets` array, e.g. + +```json +{ + "datasets": [ + { + "id": "1", + "title": "My example RDLS metadata" + } + ] +} +``` +1. Save your example JSON file to `examples/{component}/{title}/example.json` where `{component}` is the risk data component the example relates to (hazard, exposure, loss or vulnerability) and `{title}` is the title of the example. +1. Run `./manage.py pre-commit` to create a CSV version of the example. +1. Add Sphinx directives to the Markdown files in `docs` to render your example in the built documentation. + ## Style guides ### Changelog style guide @@ -257,7 +277,8 @@ Feature branches branch off the `dev` branch, with work merged into the `dev` br - `.tx/`: Transifex configuration (not yet implemented) - `img/`: Images used in the documentation - `locale/`: Translations of the English documentation (not yet implemented) -- `schema/`: schema-related files +- `examples`: Example JSON files, CSV files and figures +- `schema/`: schema- and codelist-related files - `specs/`: TBD - `SteeringCommittee/`: Minutes of steering committee meetings From e92647d465d7f9d36c603ff08133664343df406d Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Tue, 22 Aug 2023 09:24:44 +1200 Subject: [PATCH 18/37] tests/test_csv.py: Exclude examples directory --- tests/test_csv.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_csv.py b/tests/test_csv.py index b2aba7c9..ecb26590 100644 --- a/tests/test_csv.py +++ b/tests/test_csv.py @@ -29,7 +29,7 @@ def test_valid(): """ errors = 0 - for path, name, text, fieldnames, rows in walk_csv_data(excluded=('.git', '.ve', '_static', 'build', 'fixtures', 'flatten-tool', 'docson')): + for path, name, text, fieldnames, rows in walk_csv_data(excluded=('.git', '.ve', '_static', 'build', 'fixtures', 'flatten-tool', 'docson', 'examples')): codelist = is_codelist(fieldnames) width = len(fieldnames) columns = [] From 38727cb101c9b1fc7215407a6235421a888c9443 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Tue, 22 Aug 2023 09:34:22 +1200 Subject: [PATCH 19/37] .gitmodules: Correct branch syntax --- .gitmodules | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitmodules b/.gitmodules index a227396f..39273b06 100644 --- a/.gitmodules +++ b/.gitmodules @@ -3,4 +3,5 @@ url = https://github.com/OpenDataServices/docson [submodule "flatten-tool"] path = flatten-tool - url = https://github.com/OpenDataServices/flatten-tool/tree/sheet-name-length + url = https://github.com/OpenDataServices/flatten-tool/ + branch = sheet-name-length From 0ffa9adcd453a86b29a7edf383c6d27d8623395b Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Tue, 22 Aug 2023 09:40:07 +1200 Subject: [PATCH 20/37] developer_docs.md: Fix typo --- developer_docs.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/developer_docs.md b/developer_docs.md index ba03474f..87cde937 100644 --- a/developer_docs.md +++ b/developer_docs.md @@ -15,7 +15,7 @@ This section contains the following how-to guides: * [Resolve check failures](#resolve-check-failures) * [Build the documentation](#build-the-documentation) * [Deploy changes](#deploy-changes) -* [Release a new version](#developer_docs.mdrelease-a-new-version) +* [Release a new version](#release-a-new-version) * [Update requirements](#update-requirements) * [Add an RDLS metadata example](#add-an-rdls-metadata-example) From 416f35ad893c411c23a6ed0231401dba2bc4be6a Mon Sep 17 00:00:00 2001 From: odscjen Date: Sun, 27 Aug 2023 16:01:16 +0100 Subject: [PATCH 21/37] update hazard aqueduct and fathom examples --- ...sv => Hazard metadata_Event sets_Haza.csv} | 0 .../fathom/Hazard metadata_Event sets.csv | 3 +- .../Hazard metadata_Event sets_Haza.csv | 6 ++ .../Hazard metadata_Event sets_Hazards.csv | 6 -- examples/hazard/fathom/Links.csv | 3 + examples/hazard/fathom/Resources.csv | 8 ++ examples/hazard/fathom/datasets.csv | 21 ++++- examples/hazard/fathom/example.json | 73 +++++++++++++-- .../hazard/fathom/rdls_hzd-FTH_docsample.json | 91 ------------------- 9 files changed, 101 insertions(+), 110 deletions(-) rename examples/hazard/aqueduct/{Hazard metadata_Event sets_Hazards.csv => Hazard metadata_Event sets_Haza.csv} (100%) create mode 100644 examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv delete mode 100644 examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv create mode 100644 examples/hazard/fathom/Links.csv create mode 100644 examples/hazard/fathom/Resources.csv delete mode 100644 examples/hazard/fathom/rdls_hzd-FTH_docsample.json diff --git a/examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv b/examples/hazard/aqueduct/Hazard metadata_Event sets_Haza.csv similarity index 100% rename from examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv rename to examples/hazard/aqueduct/Hazard metadata_Event sets_Haza.csv diff --git a/examples/hazard/fathom/Hazard metadata_Event sets.csv b/examples/hazard/fathom/Hazard metadata_Event sets.csv index 6a63818d..1e6a6925 100644 --- a/examples/hazard/fathom/Hazard metadata_Event sets.csv +++ b/examples/hazard/fathom/Hazard metadata_Event sets.csv @@ -1,6 +1,7 @@ -Dataset identifier,1 +Dataset identifier,FTH_example Event set identifier,1 Analysis type,probabilistic Calculation Method,simulated Event count,10 Occurrence range,1/10 to 1/1000 years +Spatial scale,global diff --git a/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv b/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv new file mode 100644 index 00000000..1869b6c2 --- /dev/null +++ b/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv @@ -0,0 +1,6 @@ +Dataset identifier,FTH_example,FTH_example +Event set identifier,1,1 +Hazard identifier,1,2 +Hazard type,flood,flood +Hazard processes,fluvial_flood,pluvial_flood +Intensity measure,fl_wd:m,fl_wd:m diff --git a/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv deleted file mode 100644 index d7aa3c35..00000000 --- a/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv +++ /dev/null @@ -1,6 +0,0 @@ -Dataset identifier,1 -Event set identifier,1 -Hazard identifier,1 -Hazard type,flood -Hazard processes,fluvial_flood;pluvial_flood -Intensity measure,fl_wd:m diff --git a/examples/hazard/fathom/Links.csv b/examples/hazard/fathom/Links.csv new file mode 100644 index 00000000..5c3e6734 --- /dev/null +++ b/examples/hazard/fathom/Links.csv @@ -0,0 +1,3 @@ +Dataset identifier,FTH_example +Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json +Link relation type,describedBy diff --git a/examples/hazard/fathom/Resources.csv b/examples/hazard/fathom/Resources.csv new file mode 100644 index 00000000..1fb1b103 --- /dev/null +++ b/examples/hazard/fathom/Resources.csv @@ -0,0 +1,8 @@ +Dataset identifier,FTH_example,FTH_example,FTH_example +Resource identifier,1,2,3 +Resource title,Fluvial hazard - Undefended,Fluvial hazard - Defended,Pluvial hazard - Undefended +Resource description,"Fluvial flood hazard maps (10), not accounting any flood defence","Fluvial flood hazard maps (10), accounting for flood defence (estimate)","Pluvial flood hazard maps (10), not accounting any flood defence" +Format,geotiff,geotiff,geotiff +Spatial resolution,90,90,90 +Reference coordinate system,4326,4326,4326 +Url,http://example.com/FTH-THA-fluvial-undefended,http://example.com/FTH-THA-fluvial-defended,http://example.com/FTH-THA-pluvial-undefended diff --git a/examples/hazard/fathom/datasets.csv b/examples/hazard/fathom/datasets.csv index 73082cad..f5c2983b 100644 --- a/examples/hazard/fathom/datasets.csv +++ b/examples/hazard/fathom/datasets.csv @@ -1,6 +1,17 @@ -Dataset identifier,1 -Title,FATHOM Global flood hazard layer -Description,Probabilistic maps of flood hazard occurrence frequency by return period. +Dataset identifier,FTH_example +Title,FATHOM flood hazard maps +Description,Probabilistic modelling of fluvial and pluvial flood hazard Risk data type,hazard -Spatial scale,global -License,Commercial +Name,Fathom +URL,https://www.fathom.global/ +Dataset version,2 +Additional details,"The FATHOM flood-hazard model (previously known as SSBN), is a global gridded dataset of flood hazard produced at the global scale. It provides flood water extent and depth for a range of pluvial and fluvial hazard scenarios, expressed as “return period”, which indicates the probability of occurrence (i.e. once in 5, 10, 20, 50, 75, 100, 200, 250, 500, 750 and 1000 years). The Data are at 3 arc second (approximately 90m) resolution and have a global coverage between 56°S and 60°N. Each country set includes three subsets: +- Fluvial Undefended (FU): no flood defence accounted +- Fluvial Defended (FD): flood defence estimated by protection standards proxied by GDP (FloProS) +- Pluvial Undefended (PU): pluvial cumulation hazard maps, no flood defence accounted" +Spatial scale,national +License,commercial +Name,Mattia Amadio +Email address,mamadio@worldbank.org +Name,Mattia Amadio +Email address,mamadio@worldbank.org diff --git a/examples/hazard/fathom/example.json b/examples/hazard/fathom/example.json index a2175b2e..b0a16c67 100644 --- a/examples/hazard/fathom/example.json +++ b/examples/hazard/fathom/example.json @@ -1,14 +1,57 @@ { "datasets": [ { - "id": "1", - "title": "FATHOM Global flood hazard layer", - "description": "Probabilistic maps of flood hazard occurrence frequency by return period.", + "id": "FTH_example", + "title": "FATHOM flood hazard maps", + "description": "Probabilistic modelling of fluvial and pluvial flood hazard", "risk_data_type": "hazard", + "publisher": { + "name": "Fathom", + "url": "https://www.fathom.global/" + }, + "version": "2", + "details": "The FATHOM flood-hazard model (previously known as SSBN), is a global gridded dataset of flood hazard produced at the global scale. It provides flood water extent and depth for a range of pluvial and fluvial hazard scenarios, expressed as “return period”, which indicates the probability of occurrence (i.e. once in 5, 10, 20, 50, 75, 100, 200, 250, 500, 750 and 1000 years). The Data are at 3 arc second (approximately 90m) resolution and have a global coverage between 56°S and 60°N. Each country set includes three subsets:\n- Fluvial Undefended (FU): no flood defence accounted\n- Fluvial Defended (FD): flood defence estimated by protection standards proxied by GDP (FloProS)\n- Pluvial Undefended (PU): pluvial cumulation hazard maps, no flood defence accounted", "spatial": { - "scale": "global" + "scale": "national" + }, + "license": "commercial", + "contact_point": { + "name": "Mattia Amadio", + "email": "mamadio@worldbank.org" + }, + "creator": { + "name": "Mattia Amadio", + "email": "mamadio@worldbank.org" }, - "license": "Commercial", + "resources": [ + { + "id": "1", + "title": "Fluvial hazard - Undefended", + "description": "Fluvial flood hazard maps (10), not accounting any flood defence", + "format": "geotiff", + "spatial_resolution": 90, + "coordinate_system": "4326", + "url": "http://example.com/FTH-THA-fluvial-undefended" + }, + { + "id": "2", + "title": "Fluvial hazard - Defended", + "description": "Fluvial flood hazard maps (10), accounting for flood defence (estimate)", + "format": "geotiff", + "spatial_resolution": 90, + "coordinate_system": "4326", + "url": "http://example.com/FTH-THA-fluvial-defended" + }, + { + "id": "3", + "title": "Pluvial hazard - Undefended", + "description": "Pluvial flood hazard maps (10), not accounting any flood defence", + "format": "geotiff", + "spatial_resolution": 90, + "coordinate_system": "4326", + "url": "http://example.com/FTH-THA-pluvial-undefended" + } + ], "hazard": { "event_sets": [ { @@ -17,12 +60,22 @@ "calculation_method": "simulated", "event_count": 10, "occurrence_range": "1/10 to 1/1000 years", + "spatial": { + "scale": "global" + }, "hazards": [ { "id": "1", "type": "flood", "processes": [ - "fluvial_flood", + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + { + "id": "2", + "type": "flood", + "processes": [ "pluvial_flood" ], "intensity_measure": "fl_wd:m" @@ -30,7 +83,13 @@ ] } ] - } + }, + "links": [ + { + "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", + "rel": "describedBy" + } + ] } ] } diff --git a/examples/hazard/fathom/rdls_hzd-FTH_docsample.json b/examples/hazard/fathom/rdls_hzd-FTH_docsample.json deleted file mode 100644 index 00b510fb..00000000 --- a/examples/hazard/fathom/rdls_hzd-FTH_docsample.json +++ /dev/null @@ -1,91 +0,0 @@ -{ - "id": "FTH_example", - "title": "FATHOM flood hazard maps", - "description": "Probabilistic modelling of fluvial and pluvial flood hazard", - "risk_data_type": "hazard", - "publisher": { - "name": "Fathom", - "url": "https://www.fathom.global/" - }, - "version": "2", - "details": "The FATHOM flood-hazard model (previously known as SSBN), is a global gridded dataset of flood hazard produced at the global scale. It provides flood water extent and depth for a range of pluvial and fluvial hazard scenarios, expressed as “return period”, which indicates the probability of occurrence (i.e. once in 5, 10, 20, 50, 75, 100, 200, 250, 500, 750 and 1000 years). The Data are at 3 arc second (approximately 90m) resolution and have a global coverage between 56°S and 60°N. Each country set includes three subsets:\n- Fluvial Undefended (FU): no flood defence accounted\n- Fluvial Defended (FD): flood defence estimated by protection standards proxied by GDP (FloProS)\n- Pluvial Undefended (PU): pluvial cumulation hazard maps, no flood defence accounted", - "spatial": { - "scale": "national" - }, - "license": "commercial", - "contact_point": { - "name": "Mattia Amadio", - "email": "mamadio@worldbank.org" - }, - "creator": { - "name": "Mattia Amadio", - "email": "mamadio@worldbank.org" - }, - "resources": [ - { - "id": "1", - "title": "Fluvial hazard - Undefended", - "description": "Fluvial flood hazard maps (10), not accounting any flood defence", - "format": "geotiff", - "spatial_resolution": 90, - "coordinate_system": "4326", - "url": "http://example.com/FTH-THA-fluvial-undefended" - }, - { - "id": "2", - "title": "Fluvial hazard - Defended", - "description": "Fluvial flood hazard maps (10), accounting for flood defence (estimate)", - "format": "geotiff", - "spatial_resolution": 90, - "coordinate_system": "4326", - "url": "http://example.com/FTH-THA-fluvial-defended" - }, - { - "id": "3", - "title": "Pluvial hazard - Undefended", - "description": "Pluvial flood hazard maps (10), not accounting any flood defence", - "format": "geotiff", - "spatial_resolution": 90, - "coordinate_system": "4326", - "url": "http://example.com/FTH-THA-pluvial-undefended" - } - ], - "hazard": { - "event_sets": [ - { - "id": "1", - "analysis_type": "probabilistic", - "calculation_method": "simulated", - "event_count": 10, - "occurrence_range": "1/10 to 1/1000 years", - "spatial": { - "scale": "global" - }, - "hazards": [ - { - "id": "1", - "type": "flood", - "processes": [ - "fluvial_flood" - ], - "intensity_measure": "fl_wd:m" - }, - { - "id": "2", - "type": "flood", - "processes": [ - "pluvial_flood" - ], - "intensity_measure": "fl_wd:m" - } - ] - } - ] - }, - "links": [ - { - "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", - "rel": "describedBy" - } - ] -} From 9f736e20685b08bdcff88bb6d3bb1e0d6a600f86 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 11:01:55 +1200 Subject: [PATCH 22/37] examples: Add and update JSON files --- .../SFRARR_projectedResidential/example.json | 284 +++++ .../SFRARR_fluvialhazardmaps/example.json | 1117 +++++++++++++++++ examples/hazard/aqueduct/example.json | 2 +- examples/hazard/fathom/example.json | 4 +- examples/vulnerability/flood_jrc/example.json | 102 ++ 5 files changed, 1506 insertions(+), 3 deletions(-) create mode 100644 examples/exposure/SFRARR_projectedResidential/example.json create mode 100644 examples/full/SFRARR_fluvialhazardmaps/example.json create mode 100644 examples/vulnerability/flood_jrc/example.json diff --git a/examples/exposure/SFRARR_projectedResidential/example.json b/examples/exposure/SFRARR_projectedResidential/example.json new file mode 100644 index 00000000..a9fe4807 --- /dev/null +++ b/examples/exposure/SFRARR_projectedResidential/example.json @@ -0,0 +1,284 @@ +{ + "datasets": [ + { + "id": "https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure", + "title": "Central-Asia-exposure-dataset---Projected-residential-exposure", + "description": "Regional layer of residential buildings in Central Asia, projected to 2080", + "risk_data_type": "exposure", + "publisher": { + "name": "World Bank", + "email": "sfraser@worldbank.org", + "url": "http://www.worldbank.org" + }, + "version": "12", + "purpose": "Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)", + "project": "Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia ", + "spatial": { + "countries": [ + "KAZ", + "KGZ", + "TJK", + "TKM", + "UZB" + ], + "gazetteerEntries": [ + { + "id": "0064254_spatial1", + "scheme": "ISO 3166-1 alpha-3", + "description": "Central Asia: KAZ, KGZ, TJK, TKM, UZB" + } + ] + }, + "license": "CC-BY-4.0", + "contact_point": { + "name": "Stuart Fraser", + "email": "sfraser@worldbank.org" + }, + "creator": { + "name": "Risk Engineering and Development", + "url": "http://www.redrisk.com " + }, + "exposure": { + "category": "buildings", + "taxonomy": "GED4ALL", + "cost": [ + { + "id": "0064254_cost1", + "type": "structure", + "unit": "USD" + } + ] + }, + "attributions": [ + { + "id": "0064254_attr1", + "entity": { + "name": "Chi-Yun Huang", + "email": "chuang@worldbank.org" + }, + "role": "custodian" + }, + { + "id": "0064254_attr2", + "entity": { + "name": "OGS, Italy" + }, + "role": "collaborator" + } + ], + "sources": [ + { + "id": "0064254_src1" + } + ], + "referenced_by": [ + { + "id": "0064254_ref1", + "name": "Central Asia exposure data development technical report - English version", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z" + }, + { + "id": "0064254_ref2", + "name": "Central Asia exposure data development technical report - Russian version", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z" + } + ], + "resources": [ + { + "id": "0064254_res1", + "title": "Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP1", + "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP1\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091991/P2080_SSP1.zip?versionId=2023-07-11T15:12:01.4656749Z", + "temporal": { + "start": "2080", + "end": "2080" + } + }, + { + "id": "0064254_res2", + "title": "Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP4", + "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP4\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091992/P2080_SSP4.zip?versionId=2023-07-11T15:12:06.1470219Z", + "temporal": { + "start": "2080", + "end": "2080" + } + }, + { + "id": "0064254_res3", + "title": "Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP5", + "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP5\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091993/P2080_SSP5.zip?versionId=2023-07-11T15:12:03.5145140Z", + "temporal": { + "start": "2080", + "end": "2080" + } + } + ], + "links": [ + { + "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", + "rel": "describedby" + } + ] + }, + { + "id": "https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings", + "title": "Central-Asia-exposure-dataset---Current-residential-exposure", + "description": "Regional layer of residential buildings in Central Asia", + "risk_data_type": "exposure", + "publisher": { + "name": "World Bank", + "email": "sfraser@worldbank.org", + "url": "http://www.worldbank.org" + }, + "version": "12", + "purpose": "Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)", + "project": "Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia ", + "spatial": { + "countries": [ + "KAZ", + "KGZ", + "TJK", + "TKM", + "UZB" + ], + "gazetteerEntries": [ + { + "id": "0064251_spatial1", + "scheme": "ISO 3166-1 alpha-3", + "description": "Central Asia: KAZ, KGZ, TJK, TKM, UZB" + } + ] + }, + "license": "CC-BY-4.0", + "contact_point": { + "name": "Stuart Fraser", + "email": "sfraser@worldbank.org" + }, + "creator": { + "name": "Risk Engineering and Development", + "url": "http://www.redrisk.com " + }, + "exposure": { + "category": "buildings", + "taxonomy": "GED4ALL", + "cost": [ + { + "id": "0064251_cost1", + "type": "structure", + "unit": "USD" + } + ] + }, + "attributions": [ + { + "id": "0064251_attr1", + "entity": { + "name": "Chi-Yun Huang", + "email": "chuang@worldbank.org" + }, + "role": "custodian" + }, + { + "id": "0064251_attr2", + "entity": { + "name": "OGS, Italy" + }, + "role": "collaborator" + } + ], + "sources": [ + { + "id": "0064251_src1" + } + ], + "referenced_by": [ + { + "id": "0064251_ref1", + "name": "Central Asia exposure data development technical report - English version", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z" + }, + { + "id": "0064251_ref2", + "name": "Central Asia exposure data development technical report - Russian version", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z" + } + ], + "resources": [ + { + "id": "0064251_res1", + "title": "Central Asia exposure dataset - Residential buildings - KAZ", + "description": "Central Asia exposure layers \u2013 Residential buildings - KAZ\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091988/KAZ_residential_exposure.zip?versionId=2023-07-11T15:15:39.6450392Z", + "temporal": { + "start": "2020", + "end": "2020" + } + }, + { + "id": "0064251_res2", + "title": "Central Asia exposure dataset - Residential buildings - KGZ", + "description": "Central Asia exposure layers \u2013 Residential buildings - KGZ\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091661/KGZ_residential_exposure.zip?versionId=2023-07-11T15:15:41.4460187Z", + "temporal": { + "start": "2020", + "end": "2020" + } + }, + { + "id": "0064251_res3", + "title": "Central Asia exposure dataset - Residential buildings - TJK", + "description": "Central Asia exposure layers \u2013 Residential buildings - TJK\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091660/TJK_residential_exposure.zip?versionId=2023-07-11T15:15:37.7301236Z", + "temporal": { + "start": "2020", + "end": "2020" + } + }, + { + "id": "0064251_res4", + "title": "Central Asia exposure dataset - Residential buildings - TKM", + "description": "Central Asia exposure layers \u2013 Residential buildings - TKM\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091659/TKM_residential_exposure.zip?versionId=2023-07-11T15:15:34.9986705Z", + "temporal": { + "start": "2020", + "end": "2020" + } + }, + { + "id": "0064251_res5", + "title": "Central Asia exposure dataset - Residential buildings - UZB", + "description": "Central Asia exposure layers \u2013 Residential buildings - UZB\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091989/UZB_residential_exposure.zip?versionId=2023-07-11T15:15:43.2479984Z", + "temporal": { + "start": "2020", + "end": "2020" + } + } + ], + "links": [ + { + "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", + "rel": "describedby" + } + ] + } + ] +} diff --git a/examples/full/SFRARR_fluvialhazardmaps/example.json b/examples/full/SFRARR_fluvialhazardmaps/example.json new file mode 100644 index 00000000..6217d49c --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/example.json @@ -0,0 +1,1117 @@ +{ + "datasets": [ + { + "id": "https://datacatalog.worldbank.org/search/dataset/0064232", + "title": "Central Asia flood hazard - fluvial flood hazard maps DEFENDED", + "description": "Simulated fluvial flood hazard maps with the simulated effects of flood protection. ", + "risk_data_type": "hazard", + "publisher": { + "name": "World Bank Europe and Central Asia DRM team", + "email": "sfraser@worldbank.org" + }, + "version": "2", + "purpose": "Developed as part of a regional probabilistic flood and earthquake risk assessment under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)", + "project": "Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia ", + "spatial": { + "countries": [ + "KAZ", + "KGZ", + "TJK", + "TKM", + "UZB" + ], + "scale": "regional", + "gazetteerEntries": [ + { + "id": "0064232_gaz1", + "scheme": "ISO 3166-1 alpha-3" + } + ] + }, + "license": "CC-BY-4.0", + "contact_point": { + "name": "Stuart Fraser", + "email": "sfraser@worldbank.org" + }, + "creator": { + "name": "Risk Engineering and Development" + }, + "attributions": [ + { + "id": "0064232_1attr", + "entity": { + "name": "World Bank", + "email": "chuang@worldbank.org", + "url": "http://www.worldbank.org" + }, + "role": "custodian" + } + ], + "sources": [ + { + "id": "0064232_1src" + } + ], + "referenced_by": [ + { + "id": "0064232_ref1", + "name": "Central Asia flood hazard technical report - English version", + "authorNames": [ + "Risk Engineering and Development" + ], + "datePublished": "2023-02-09", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064084/DR0090774/Task3_FloodHazard_Report_r5_EN.pdf?versionId=2023-07-21T17:34:14.1038579Z" + } + ], + "resources": [ + { + "id": "0064232_res1", + "title": "Central Asia fluvial flood hazard maps - defended \u2013 KAZ 5-50y RP", + "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset. Due to file size, this is a partial set of data covering 1-in-5-50y return period. See dataset \u201cCentral Asia fluvial flood hazard maps - defended \u2013 KAZ 100-1000y RP\u201d for the remaining data.", + "media_type": "image/tiff", + "format": "geotiff", + "spatial_resolution": 90, + "coordinate_system": "EPSG:4326", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0092000/FLU_DEF_KAZ_5-50yRP.zip?versionId=2023-07-11T15:17:06.8346489Z" + }, + { + "id": "0064232_res2", + "title": "Central Asia fluvial flood hazard maps - defended \u2013 KAZ 100-1000y RP", + "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset. Due to file size, this is a partial set of data covering 1-in-100-1000y return period. See dataset \u201cCentral Asia fluvial flood hazard maps - defended \u2013 KaZ 5-50y RP\u201d for the remaining data.", + "media_type": "image/tiff", + "format": "geotiff", + "spatial_resolution": 90, + "coordinate_system": "EPSG:4326", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0092001/FLU_DEF_KAZ_100-1000yRP.zip?versionId=2023-07-11T15:17:09.5061377Z" + }, + { + "id": "0064232_res3", + "title": "Central Asia fluvial flood hazard maps - defended - KGZ", + "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset.", + "media_type": "image/tiff", + "format": "geotiff", + "spatial_resolution": 90, + "coordinate_system": "EPSG:4326", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091440/FLU_DEF_KGZ.zip?versionId=2023-07-11T15:16:59.0750434Z" + }, + { + "id": "0064232_res4", + "title": "Central Asia fluvial flood hazard maps - defended - TJK", + "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset.", + "media_type": "image/tiff", + "format": "geotiff", + "spatial_resolution": 90, + "coordinate_system": "EPSG:4326", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091439/FLU_DEF_TJK.zip?versionId=2023-07-11T15:17:11.4860175Z" + }, + { + "id": "0064232_res5", + "title": "Central Asia fluvial flood hazard maps - defended - TKM", + "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset.", + "media_type": "image/tiff", + "format": "geotiff", + "spatial_resolution": 90, + "coordinate_system": "EPSG:4326", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091768/FLU_DEF_TKM.zip?versionId=2023-07-11T15:17:01.5896193Z" + }, + { + "id": "0064232_res6", + "title": "Central Asia fluvial flood hazard maps - defended - UZB", + "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset.", + "media_type": "image/tiff", + "format": "geotiff", + "spatial_resolution": 90, + "coordinate_system": "EPSG:4326", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091769/FLU_DEF_UZB.zip?versionId=2023-07-11T15:17:04.1441727Z" + } + ], + "hazard": { + "event_sets": [ + { + "id": "0064232_EventSet1", + "analysis_type": "probabilistic", + "seasonality": "uniform", + "calculation_method": "simulated", + "event_count": 10000, + "spatial": { + "countries": [ + "KAZ", + "KGZ", + "TJK", + "TKM", + "UZB" + ], + "scale": "regional", + "gazetteerEntries": [ + { + "id": "KAZ", + "scheme": "ISO 3166-1 alpha-3", + "description": "Kazakhstan" + }, + { + "id": "KGZ", + "scheme": "ISO 3166-1 alpha-3", + "description": "Kyrgyz Republic" + }, + { + "id": "TJK", + "scheme": "ISO 3166-1 alpha-3", + "description": "Tajikistan" + }, + { + "id": "TKM", + "scheme": "ISO 3166-1 alpha-3", + "description": "Turkmenistan" + }, + { + "id": "UZB", + "scheme": "ISO 3166-1 alpha-3", + "description": "Uzbekistan" + } + ] + }, + "hazards": [ + { + "id": "0064232_EventSet1_FL", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + } + ], + "events": [ + { + "id": "0064232_EventSet1_KAZ_5", + "disaster_identifier": "n/a", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KAZ_5", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 5 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KAZ_5", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KAZ_10", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KAZ_10", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 10 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KAZ_10", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KAZ_20", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KAZ_20", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 20 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KAZ_20", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KAZ_50", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KAZ_50", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 50 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KAZ_50", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KAZ_100", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KAZ_100", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 100 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KAZ_100", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KAZ_200", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KAZ_200", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 200 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KAZ_200", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KAZ_500", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KAZ_500", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 500 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KAZ_500", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KAZ_1000", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KAZ_1000", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 1000 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KAZ_1000", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KGZ_5", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KGZ_5", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 5 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KGZ_5", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KGZ_10", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KGZ_10", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 10 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KGZ_10", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KGZ_20", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KGZ_20", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 20 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KGZ_20", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KGZ_50", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KGZ_50", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 50 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KGZ_50", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KGZ_100", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KGZ_100", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 100 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KGZ_100", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KGZ_200", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KGZ_200", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 200 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KGZ_200", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KGZ_500", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KGZ_500", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 500 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KGZ_500", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_KGZ_1000", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_KGZ_1000", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 1000 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_KGZ_1000", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TJK_5", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TJK_5", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 5 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TJK_5", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TJK_10", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TJK_10", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 10 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TJK_10", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TJK_20", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TJK_20", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 20 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TJK_20", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TJK_50", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TJK_50", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 50 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TJK_50", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TJK_100", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TJK_100", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 100 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TJK_100", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TJK_200", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TJK_200", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 200 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TJK_200", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TJK_500", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TJK_500", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 500 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TJK_500", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TJK_1000", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TJK_1000", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 1000 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TJK_1000", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TKM_5", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TKM_5", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 5 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TKM_5", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TKM_10", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TKM_10", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 10 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TKM_10", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TKM_20", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TKM_20", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 20 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TKM_20", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TKM_50", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TKM_50", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 50 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TKM_50", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TKM_100", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TKM_100", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 100 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TKM_100", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TKM_200", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TKM_200", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 200 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TKM_200", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TKM_500", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TKM_500", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 500 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TKM_500", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_TKM_1000", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_TKM_1000", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 1000 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_TKM_1000", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_UZB_5", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_UZB_5", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 5 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_UZB_5", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_UZB_10", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_UZB_10", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 10 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_UZB_10", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_UZB_20", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_UZB_20", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 20 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_UZB_20", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_UZB_50", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_UZB_50", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 50 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_UZB_50", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_UZB_100", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_UZB_100", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 100 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_UZB_100", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_UZB_200", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_UZB_200", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 200 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_UZB_200", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_UZB_500", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_UZB_500", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 500 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_UZB_500", + "intensity_measure": "fl_wd:m" + } + ] + }, + { + "id": "0064232_EventSet1_UZB_1000", + "calculation_method": "simulated", + "hazard": { + "id": "0064232_EventSet1_UZB_1000", + "type": "flood", + "processes": [ + "fluvial_flood" + ], + "intensity_measure": "fl_wd:m" + }, + "occurrence": { + "probabilistic": { + "return_period": 1000 + } + }, + "footprints": [ + { + "id": "0064232_EventSet1_UZB_1000", + "intensity_measure": "fl_wd:m" + } + ] + } + ] + } + ] + }, + "links": [ + { + "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", + "rel": "describedby" + } + ] + } + ] +} diff --git a/examples/hazard/aqueduct/example.json b/examples/hazard/aqueduct/example.json index 012699b6..067078c6 100644 --- a/examples/hazard/aqueduct/example.json +++ b/examples/hazard/aqueduct/example.json @@ -69,7 +69,7 @@ "links": [ { "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", - "rel": "describedBy" + "rel": "describedby" } ] } diff --git a/examples/hazard/fathom/example.json b/examples/hazard/fathom/example.json index b0a16c67..dfe52676 100644 --- a/examples/hazard/fathom/example.json +++ b/examples/hazard/fathom/example.json @@ -87,9 +87,9 @@ "links": [ { "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", - "rel": "describedBy" + "rel": "describedby" } ] - } + } ] } diff --git a/examples/vulnerability/flood_jrc/example.json b/examples/vulnerability/flood_jrc/example.json new file mode 100644 index 00000000..12034efc --- /dev/null +++ b/examples/vulnerability/flood_jrc/example.json @@ -0,0 +1,102 @@ +{ + "id": "https://publications.jrc.ec.europa.eu/repository/handle/JRC105688", + "title": "Global flood depth-damage functions", + "description": "This dataset contains damage curves depicting fractional damage function of water depth as well as maximum damage values for a variety of assets and land use classes.", + "risk_data_type": "vulnerability", + "publisher": { + "name": "EU Joint Research Center (JRC)", + "url": "https://publications.jrc.ec.europa.eu/repository/handle/JRC105688" + }, + "version": "2017", + "purpose": "Assessing potential damage of flood events is an important component in flood risk management. Determining direct flood damage is commonly done using depth-damage curves, which denote the flood damage that would occur at specific water depths per asset or per land-use class. Many countries have developed flood damage models using depth-damage curves based on analysis of past flood events and on expert judgement. However, the fact that such damage curves are not available for all regions hampers damage assessments in some areas. Moreover, due to different methodologies employed for various damage models in different countries, damage assessments cannot be directly compared with each other, obstructing also supra-national flood damage assessments.", + "details": "Based on an extensive literature survey concave damage curves have been developed for each continent, while differentiation in flood damage between countries is established by determining maximum damage values at the country scale. These maximum damage values are based on construction cost surveys from multinational construction companies, which provide a coherent set of detailed building cost data across dozens of countries. A consistent set of maximum flood damage values for all countries was computed using statistical regressions with socio-economic World Development Indicators. Further, based on insights from the literature survey, guidance is also given on how the damage curves and maximum damage values can be adjusted for specific local circumstances, such as urban vs. rural locations or use of specific building material. This dataset can be used for consistent supra-national scale flood damage assessments, and guide assessment in countries where no damage model is currently available.", + "spatial": { + "scale": "global" + }, + "license": "CC-BY-4.0", + "contact_point": { + "name": "Mattia Amadio", + "email": "mamadio@worldbank.org" + }, + "creator": { + "name": "EU Joint Research Center (JRC)" + }, + "vulnerability": { + "hazard_primary": "flood", + "intensity": "fl_wd:m", + "category": "buildings", + "taxonomy": "internal", + "impact": { + "type": "direct", + "metric": "damage_ratio", + "unit": "percentage", + "base_data_type": "inferred" + }, + "spatial": { + "scale": "global" + }, + "functions": { + "fragility": { + "approach": "hybrid" + } + }, + "cost": [ + { + "id": "1", + "type": "structure", + "unit": "EUR" + }, + { + "id": "2", + "type": "content", + "unit": "EUR" + } + ] + }, + "attributions": [ + { + "id": "1", + "entity": { + "name": "JRC", + "url": "https://publications.jrc.ec.europa.eu/repository/handle/JRC105688" + }, + "role": "distributor" + }, + { + "id": "2", + "entity": { + "name": "Jan Huizinga" + }, + "role": "author" + } + ], + "referenced_by": [ + { + "id": "1", + "name": "JRC Technical report - Global flood depth-damage functions", + "authorNames": [ + "Jan Huizinga", + "Hans de Moel", + "Wojciech Szewczyk" + ], + "datePublished": "2017-04-12", + "url": "https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/global_flood_depth-damage_functions__10042017.pdf", + "doi": "10.2760/16510" + } + ], + "resources": [ + { + "id": "1", + "title": "Global flood depth-damage functions database", + "description": "This spreadsheet contains two components required for flood damage assessment: fractional depth-damage functions and maximum damage values. The damage functions provide the share of asset that is damaged at a given flood depth, while the maximum damage values provide the associated maximum damage value for the given asset and, when combined together, they yield the monetary value of the damage.", + "format": "xlsx", + "url": "https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/copy_of_global_flood_depth-damage_functions__30102017.xlsx" + } + ], + "links": [ + { + "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", + "rel": "describedby" + } + ] +} From 648fc645225ab44cb025012e265143c91b8c159e Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 11:29:04 +1200 Subject: [PATCH 23/37] examples: Update for latest schema --- .../SFRARR_projectedResidential/example.json | 16 +- .../SFRARR_fluvialhazardmaps/example.json | 4 +- examples/hazard/aqueduct/example.json | 6 +- examples/hazard/fathom/example.json | 12 +- examples/vulnerability/flood_jrc/example.json | 192 +++++++++--------- 5 files changed, 123 insertions(+), 107 deletions(-) diff --git a/examples/exposure/SFRARR_projectedResidential/example.json b/examples/exposure/SFRARR_projectedResidential/example.json index a9fe4807..333e1838 100644 --- a/examples/exposure/SFRARR_projectedResidential/example.json +++ b/examples/exposure/SFRARR_projectedResidential/example.json @@ -4,7 +4,9 @@ "id": "https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure", "title": "Central-Asia-exposure-dataset---Projected-residential-exposure", "description": "Regional layer of residential buildings in Central Asia, projected to 2080", - "risk_data_type": "exposure", + "risk_data_type": [ + "exposure" + ], "publisher": { "name": "World Bank", "email": "sfraser@worldbank.org", @@ -132,7 +134,9 @@ "id": "https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings", "title": "Central-Asia-exposure-dataset---Current-residential-exposure", "description": "Regional layer of residential buildings in Central Asia", - "risk_data_type": "exposure", + "risk_data_type": [ + "exposure" + ], "publisher": { "name": "World Bank", "email": "sfraser@worldbank.org", @@ -169,11 +173,11 @@ "exposure": { "category": "buildings", "taxonomy": "GED4ALL", - "cost": [ + "metrics": [ { - "id": "0064251_cost1", - "type": "structure", - "unit": "USD" + "id": "0064251_metric1", + "dimension": "structure", + "quantity_kind": "currency" } ] }, diff --git a/examples/full/SFRARR_fluvialhazardmaps/example.json b/examples/full/SFRARR_fluvialhazardmaps/example.json index 6217d49c..896b4e06 100644 --- a/examples/full/SFRARR_fluvialhazardmaps/example.json +++ b/examples/full/SFRARR_fluvialhazardmaps/example.json @@ -4,7 +4,9 @@ "id": "https://datacatalog.worldbank.org/search/dataset/0064232", "title": "Central Asia flood hazard - fluvial flood hazard maps DEFENDED", "description": "Simulated fluvial flood hazard maps with the simulated effects of flood protection. ", - "risk_data_type": "hazard", + "risk_data_type": [ + "hazard" + ], "publisher": { "name": "World Bank Europe and Central Asia DRM team", "email": "sfraser@worldbank.org" diff --git a/examples/hazard/aqueduct/example.json b/examples/hazard/aqueduct/example.json index 067078c6..f73e5129 100644 --- a/examples/hazard/aqueduct/example.json +++ b/examples/hazard/aqueduct/example.json @@ -4,7 +4,9 @@ "id": "https://www.wri.org/data/aqueduct-floods-hazard-maps", "title": "Aqueduct Floods Hazard Maps", "description": "Aqueduct Floods is an online platform that measures riverine and coastal flood risks under both current baseline conditions and future projections in 2030, 2050, an 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods enables its users to conduct comprehensive cost-benefit analysis to evaluate the value of dike flood protection strategies.", - "risk_data_type": "hazard", + "risk_data_type": [ + "hazard" + ], "publisher": { "name": "Water Resource Institute", "url": "https://www.wri.org" @@ -30,7 +32,7 @@ "description": "Collection of fluvial and pluvial hazard maps; baseline and climate scenarios", "format": "geotiff", "spatial_resolution": 1000, - "coordinate_system": "4326", + "coordinate_system": "EPSG:4326", "url": "http://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html" } ], diff --git a/examples/hazard/fathom/example.json b/examples/hazard/fathom/example.json index dfe52676..9cbda76d 100644 --- a/examples/hazard/fathom/example.json +++ b/examples/hazard/fathom/example.json @@ -4,7 +4,9 @@ "id": "FTH_example", "title": "FATHOM flood hazard maps", "description": "Probabilistic modelling of fluvial and pluvial flood hazard", - "risk_data_type": "hazard", + "risk_data_type": [ + "hazard" + ], "publisher": { "name": "Fathom", "url": "https://www.fathom.global/" @@ -30,7 +32,7 @@ "description": "Fluvial flood hazard maps (10), not accounting any flood defence", "format": "geotiff", "spatial_resolution": 90, - "coordinate_system": "4326", + "coordinate_system": "EPSG:4326", "url": "http://example.com/FTH-THA-fluvial-undefended" }, { @@ -39,7 +41,7 @@ "description": "Fluvial flood hazard maps (10), accounting for flood defence (estimate)", "format": "geotiff", "spatial_resolution": 90, - "coordinate_system": "4326", + "coordinate_system": "EPSG:4326", "url": "http://example.com/FTH-THA-fluvial-defended" }, { @@ -48,7 +50,7 @@ "description": "Pluvial flood hazard maps (10), not accounting any flood defence", "format": "geotiff", "spatial_resolution": 90, - "coordinate_system": "4326", + "coordinate_system": "EPSG:4326", "url": "http://example.com/FTH-THA-pluvial-undefended" } ], @@ -90,6 +92,6 @@ "rel": "describedby" } ] - } + } ] } diff --git a/examples/vulnerability/flood_jrc/example.json b/examples/vulnerability/flood_jrc/example.json index 12034efc..f4acf353 100644 --- a/examples/vulnerability/flood_jrc/example.json +++ b/examples/vulnerability/flood_jrc/example.json @@ -1,102 +1,108 @@ { - "id": "https://publications.jrc.ec.europa.eu/repository/handle/JRC105688", - "title": "Global flood depth-damage functions", - "description": "This dataset contains damage curves depicting fractional damage function of water depth as well as maximum damage values for a variety of assets and land use classes.", - "risk_data_type": "vulnerability", - "publisher": { - "name": "EU Joint Research Center (JRC)", - "url": "https://publications.jrc.ec.europa.eu/repository/handle/JRC105688" - }, - "version": "2017", - "purpose": "Assessing potential damage of flood events is an important component in flood risk management. Determining direct flood damage is commonly done using depth-damage curves, which denote the flood damage that would occur at specific water depths per asset or per land-use class. Many countries have developed flood damage models using depth-damage curves based on analysis of past flood events and on expert judgement. However, the fact that such damage curves are not available for all regions hampers damage assessments in some areas. Moreover, due to different methodologies employed for various damage models in different countries, damage assessments cannot be directly compared with each other, obstructing also supra-national flood damage assessments.", - "details": "Based on an extensive literature survey concave damage curves have been developed for each continent, while differentiation in flood damage between countries is established by determining maximum damage values at the country scale. These maximum damage values are based on construction cost surveys from multinational construction companies, which provide a coherent set of detailed building cost data across dozens of countries. A consistent set of maximum flood damage values for all countries was computed using statistical regressions with socio-economic World Development Indicators. Further, based on insights from the literature survey, guidance is also given on how the damage curves and maximum damage values can be adjusted for specific local circumstances, such as urban vs. rural locations or use of specific building material. This dataset can be used for consistent supra-national scale flood damage assessments, and guide assessment in countries where no damage model is currently available.", - "spatial": { - "scale": "global" - }, - "license": "CC-BY-4.0", - "contact_point": { - "name": "Mattia Amadio", - "email": "mamadio@worldbank.org" - }, - "creator": { - "name": "EU Joint Research Center (JRC)" - }, - "vulnerability": { - "hazard_primary": "flood", - "intensity": "fl_wd:m", - "category": "buildings", - "taxonomy": "internal", - "impact": { - "type": "direct", - "metric": "damage_ratio", - "unit": "percentage", - "base_data_type": "inferred" - }, - "spatial": { - "scale": "global" - }, - "functions": { - "fragility": { - "approach": "hybrid" - } - }, - "cost": [ - { - "id": "1", - "type": "structure", - "unit": "EUR" - }, - { - "id": "2", - "type": "content", - "unit": "EUR" - } - ] - }, - "attributions": [ + "datasets": [ { - "id": "1", - "entity": { - "name": "JRC", + "id": "https://publications.jrc.ec.europa.eu/repository/handle/JRC105688", + "title": "Global flood depth-damage functions", + "description": "This dataset contains damage curves depicting fractional damage function of water depth as well as maximum damage values for a variety of assets and land use classes.", + "risk_data_type": [ + "vulnerability" + ], + "publisher": { + "name": "EU Joint Research Center (JRC)", "url": "https://publications.jrc.ec.europa.eu/repository/handle/JRC105688" }, - "role": "distributor" - }, - { - "id": "2", - "entity": { - "name": "Jan Huizinga" + "version": "2017", + "purpose": "Assessing potential damage of flood events is an important component in flood risk management. Determining direct flood damage is commonly done using depth-damage curves, which denote the flood damage that would occur at specific water depths per asset or per land-use class. Many countries have developed flood damage models using depth-damage curves based on analysis of past flood events and on expert judgement. However, the fact that such damage curves are not available for all regions hampers damage assessments in some areas. Moreover, due to different methodologies employed for various damage models in different countries, damage assessments cannot be directly compared with each other, obstructing also supra-national flood damage assessments.", + "details": "Based on an extensive literature survey concave damage curves have been developed for each continent, while differentiation in flood damage between countries is established by determining maximum damage values at the country scale. These maximum damage values are based on construction cost surveys from multinational construction companies, which provide a coherent set of detailed building cost data across dozens of countries. A consistent set of maximum flood damage values for all countries was computed using statistical regressions with socio-economic World Development Indicators. Further, based on insights from the literature survey, guidance is also given on how the damage curves and maximum damage values can be adjusted for specific local circumstances, such as urban vs. rural locations or use of specific building material. This dataset can be used for consistent supra-national scale flood damage assessments, and guide assessment in countries where no damage model is currently available.", + "spatial": { + "scale": "global" }, - "role": "author" - } - ], - "referenced_by": [ - { - "id": "1", - "name": "JRC Technical report - Global flood depth-damage functions", - "authorNames": [ - "Jan Huizinga", - "Hans de Moel", - "Wojciech Szewczyk" + "license": "CC-BY-4.0", + "contact_point": { + "name": "Mattia Amadio", + "email": "mamadio@worldbank.org" + }, + "creator": { + "name": "EU Joint Research Center (JRC)" + }, + "vulnerability": { + "hazard_primary": "flood", + "intensity": "fl_wd:m", + "category": "buildings", + "taxonomy": "internal", + "impact": { + "type": "direct", + "metric": "damage_ratio", + "unit": "percentage", + "base_data_type": "inferred" + }, + "spatial": { + "scale": "global" + }, + "functions": { + "fragility": { + "approach": "hybrid" + } + }, + "cost": [ + { + "id": "1", + "type": "structure", + "unit": "EUR" + }, + { + "id": "2", + "type": "content", + "unit": "EUR" + } + ] + }, + "attributions": [ + { + "id": "1", + "entity": { + "name": "JRC", + "url": "https://publications.jrc.ec.europa.eu/repository/handle/JRC105688" + }, + "role": "distributor" + }, + { + "id": "2", + "entity": { + "name": "Jan Huizinga" + }, + "role": "author" + } ], - "datePublished": "2017-04-12", - "url": "https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/global_flood_depth-damage_functions__10042017.pdf", - "doi": "10.2760/16510" - } - ], - "resources": [ - { - "id": "1", - "title": "Global flood depth-damage functions database", - "description": "This spreadsheet contains two components required for flood damage assessment: fractional depth-damage functions and maximum damage values. The damage functions provide the share of asset that is damaged at a given flood depth, while the maximum damage values provide the associated maximum damage value for the given asset and, when combined together, they yield the monetary value of the damage.", - "format": "xlsx", - "url": "https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/copy_of_global_flood_depth-damage_functions__30102017.xlsx" - } - ], - "links": [ - { - "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", - "rel": "describedby" + "referenced_by": [ + { + "id": "1", + "name": "JRC Technical report - Global flood depth-damage functions", + "authorNames": [ + "Jan Huizinga", + "Hans de Moel", + "Wojciech Szewczyk" + ], + "datePublished": "2017-04-12", + "url": "https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/global_flood_depth-damage_functions__10042017.pdf", + "doi": "10.2760/16510" + } + ], + "resources": [ + { + "id": "1", + "title": "Global flood depth-damage functions database", + "description": "This spreadsheet contains two components required for flood damage assessment: fractional depth-damage functions and maximum damage values. The damage functions provide the share of asset that is damaged at a given flood depth, while the maximum damage values provide the associated maximum damage value for the given asset and, when combined together, they yield the monetary value of the damage.", + "format": "xlsx", + "url": "https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/copy_of_global_flood_depth-damage_functions__30102017.xlsx" + } + ], + "links": [ + { + "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", + "rel": "describedby" + } + ] } ] } From 4ece45e9598a65da5b3354ded8020f1d43bead75 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 11:29:35 +1200 Subject: [PATCH 24/37] examples: Update for latest schema --- .../exposure/SFRARR_projectedResidential/example.json | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/exposure/SFRARR_projectedResidential/example.json b/examples/exposure/SFRARR_projectedResidential/example.json index 333e1838..933dff59 100644 --- a/examples/exposure/SFRARR_projectedResidential/example.json +++ b/examples/exposure/SFRARR_projectedResidential/example.json @@ -43,11 +43,11 @@ "exposure": { "category": "buildings", "taxonomy": "GED4ALL", - "cost": [ + "metrics": [ { - "id": "0064254_cost1", - "type": "structure", - "unit": "USD" + "id": "0064254_metric1", + "dimension": "structure", + "quantity_kind": "currency" } ] }, From ca3c5ca2fa34f2b100f39e55eaad8c8da0b56a36 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 11:43:31 +1200 Subject: [PATCH 25/37] examples: Update CSV files --- .../Attributions.csv | 5 ++++ .../Exposure metadata_Exposure metrics.csv | 4 ++++ .../SFRARR_projectedResidential/Links.csv | 3 +++ .../Referenced by.csv | 4 ++++ .../SFRARR_projectedResidential/Resources.csv | 20 ++++++++++++++++ .../SFRARR_projectedResidential/Sources.csv | 2 ++ .../Spatial coverage_Gazetteer entries.csv | 4 ++++ .../SFRARR_projectedResidential/datasets.csv | 18 ++++++++++++++ .../SFRARR_fluvialhazardmaps/Attributions.csv | 6 +++++ .../Hazard metadata_Event sets.csv | 8 +++++++ .../Hazard metadata_Event sets_Events.csv | 10 ++++++++ ... metadata_Event sets_Events_Footprints.csv | 5 ++++ .../Hazard metadata_Event sets_Hazards.csv | 6 +++++ ...ets_Spatial coverage_Gazetteer entries.csv | 5 ++++ .../full/SFRARR_fluvialhazardmaps/Links.csv | 3 +++ .../Referenced by.csv | 6 +++++ .../SFRARR_fluvialhazardmaps/Resources.csv | 9 +++++++ .../full/SFRARR_fluvialhazardmaps/Sources.csv | 2 ++ .../Spatial coverage_Gazetteer entries.csv | 3 +++ .../SFRARR_fluvialhazardmaps/datasets.csv | 15 ++++++++++++ ...=> Hazard metadata_Event sets_Hazards.csv} | 0 examples/hazard/aqueduct/Links.csv | 2 +- examples/hazard/aqueduct/Resources.csv | 4 ++-- ...=> Hazard metadata_Event sets_Hazards.csv} | 0 examples/hazard/fathom/Links.csv | 2 +- examples/hazard/fathom/Resources.csv | 4 ++-- .../vulnerability/flood_jrc/Attributions.csv | 5 ++++ examples/vulnerability/flood_jrc/Links.csv | 3 +++ .../vulnerability/flood_jrc/Referenced by.csv | 7 ++++++ .../vulnerability/flood_jrc/Resources.csv | 6 +++++ .../Vulnerability metadata_Asset cost.csv | 4 ++++ examples/vulnerability/flood_jrc/datasets.csv | 24 +++++++++++++++++++ 32 files changed, 193 insertions(+), 6 deletions(-) create mode 100644 examples/exposure/SFRARR_projectedResidential/Attributions.csv create mode 100644 examples/exposure/SFRARR_projectedResidential/Exposure metadata_Exposure metrics.csv create mode 100644 examples/exposure/SFRARR_projectedResidential/Links.csv create mode 100644 examples/exposure/SFRARR_projectedResidential/Referenced by.csv create mode 100644 examples/exposure/SFRARR_projectedResidential/Resources.csv create mode 100644 examples/exposure/SFRARR_projectedResidential/Sources.csv create mode 100644 examples/exposure/SFRARR_projectedResidential/Spatial coverage_Gazetteer entries.csv create mode 100644 examples/exposure/SFRARR_projectedResidential/datasets.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Attributions.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events_Footprints.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Hazards.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Spatial coverage_Gazetteer entries.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Links.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Referenced by.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Resources.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Sources.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/Spatial coverage_Gazetteer entries.csv create mode 100644 examples/full/SFRARR_fluvialhazardmaps/datasets.csv rename examples/hazard/aqueduct/{Hazard metadata_Event sets_Haza.csv => Hazard metadata_Event sets_Hazards.csv} (100%) rename examples/hazard/fathom/{Hazard metadata_Event sets_Haza.csv => Hazard metadata_Event sets_Hazards.csv} (100%) create mode 100644 examples/vulnerability/flood_jrc/Attributions.csv create mode 100644 examples/vulnerability/flood_jrc/Links.csv create mode 100644 examples/vulnerability/flood_jrc/Referenced by.csv create mode 100644 examples/vulnerability/flood_jrc/Resources.csv create mode 100644 examples/vulnerability/flood_jrc/Vulnerability metadata_Asset cost.csv create mode 100644 examples/vulnerability/flood_jrc/datasets.csv diff --git a/examples/exposure/SFRARR_projectedResidential/Attributions.csv b/examples/exposure/SFRARR_projectedResidential/Attributions.csv new file mode 100644 index 00000000..c071f52f --- /dev/null +++ b/examples/exposure/SFRARR_projectedResidential/Attributions.csv @@ -0,0 +1,5 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Attribution identifier,0064254_attr1,0064254_attr2,0064251_attr1,0064251_attr2 +Name,Chi-Yun Huang,"OGS, Italy",Chi-Yun Huang,"OGS, Italy" +Email address,chuang@worldbank.org,,chuang@worldbank.org, +Role,custodian,collaborator,custodian,collaborator diff --git a/examples/exposure/SFRARR_projectedResidential/Exposure metadata_Exposure metrics.csv b/examples/exposure/SFRARR_projectedResidential/Exposure metadata_Exposure metrics.csv new file mode 100644 index 00000000..2cab7d0c --- /dev/null +++ b/examples/exposure/SFRARR_projectedResidential/Exposure metadata_Exposure metrics.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Identifier,0064254_metric1,0064251_metric1 +Metric dimension,structure,structure +Metric quantity kind,currency,currency diff --git a/examples/exposure/SFRARR_projectedResidential/Links.csv b/examples/exposure/SFRARR_projectedResidential/Links.csv new file mode 100644 index 00000000..9c22e61c --- /dev/null +++ b/examples/exposure/SFRARR_projectedResidential/Links.csv @@ -0,0 +1,3 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json +Link relation type,describedby,describedby diff --git a/examples/exposure/SFRARR_projectedResidential/Referenced by.csv b/examples/exposure/SFRARR_projectedResidential/Referenced by.csv new file mode 100644 index 00000000..4f27dc7a --- /dev/null +++ b/examples/exposure/SFRARR_projectedResidential/Referenced by.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Related resource identifier,0064254_ref1,0064254_ref2,0064251_ref1,0064251_ref2 +Name,Central Asia exposure data development technical report - English version,Central Asia exposure data development technical report - Russian version,Central Asia exposure data development technical report - English version,Central Asia exposure data development technical report - Russian version +URL,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z diff --git a/examples/exposure/SFRARR_projectedResidential/Resources.csv b/examples/exposure/SFRARR_projectedResidential/Resources.csv new file mode 100644 index 00000000..5dffa24f --- /dev/null +++ b/examples/exposure/SFRARR_projectedResidential/Resources.csv @@ -0,0 +1,20 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Resource identifier,0064254_res1,0064254_res2,0064254_res3,0064251_res1,0064251_res2,0064251_res3,0064251_res4,0064251_res5 +Resource title,"Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP1","Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP4","Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP5",Central Asia exposure dataset - Residential buildings - KAZ,Central Asia exposure dataset - Residential buildings - KGZ,Central Asia exposure dataset - Residential buildings - TJK,Central Asia exposure dataset - Residential buildings - TKM,Central Asia exposure dataset - Residential buildings - UZB +Resource description,"Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP1 +Dataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios. +Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv","Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP4 +Dataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios. +Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv","Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP5 +Dataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios. +Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv","Central Asia exposure layers – Residential buildings - KAZ +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - KGZ +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - TJK +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - TKM +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - UZB +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp" +Format,csv,csv,csv,csv,csv,csv,csv,csv +Spatial resolution,500,500,500,500,500,500,500,500 +resources/0/url,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091991/P2080_SSP1.zip?versionId=2023-07-11T15:12:01.4656749Z,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091992/P2080_SSP4.zip?versionId=2023-07-11T15:12:06.1470219Z,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091993/P2080_SSP5.zip?versionId=2023-07-11T15:12:03.5145140Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091988/KAZ_residential_exposure.zip?versionId=2023-07-11T15:15:39.6450392Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091661/KGZ_residential_exposure.zip?versionId=2023-07-11T15:15:41.4460187Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091660/TJK_residential_exposure.zip?versionId=2023-07-11T15:15:37.7301236Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091659/TKM_residential_exposure.zip?versionId=2023-07-11T15:15:34.9986705Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091989/UZB_residential_exposure.zip?versionId=2023-07-11T15:15:43.2479984Z +Start,2080,2080,2080,2020,2020,2020,2020,2020 +End date,2080,2080,2080,2020,2020,2020,2020,2020 diff --git a/examples/exposure/SFRARR_projectedResidential/Sources.csv b/examples/exposure/SFRARR_projectedResidential/Sources.csv new file mode 100644 index 00000000..0f5c8535 --- /dev/null +++ b/examples/exposure/SFRARR_projectedResidential/Sources.csv @@ -0,0 +1,2 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Source identifier,0064254_src1,0064251_src1 diff --git a/examples/exposure/SFRARR_projectedResidential/Spatial coverage_Gazetteer entries.csv b/examples/exposure/SFRARR_projectedResidential/Spatial coverage_Gazetteer entries.csv new file mode 100644 index 00000000..59ada2f0 --- /dev/null +++ b/examples/exposure/SFRARR_projectedResidential/Spatial coverage_Gazetteer entries.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Gazetteer entry identifier,0064254_spatial1,0064251_spatial1 +Scheme,ISO 3166-1 alpha-3,ISO 3166-1 alpha-3 +Description,"Central Asia: KAZ, KGZ, TJK, TKM, UZB","Central Asia: KAZ, KGZ, TJK, TKM, UZB" diff --git a/examples/exposure/SFRARR_projectedResidential/datasets.csv b/examples/exposure/SFRARR_projectedResidential/datasets.csv new file mode 100644 index 00000000..ea44e620 --- /dev/null +++ b/examples/exposure/SFRARR_projectedResidential/datasets.csv @@ -0,0 +1,18 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Title,Central-Asia-exposure-dataset---Projected-residential-exposure,Central-Asia-exposure-dataset---Current-residential-exposure +Description,"Regional layer of residential buildings in Central Asia, projected to 2080",Regional layer of residential buildings in Central Asia +Risk data type,exposure,exposure +Name,World Bank,World Bank +Email address,sfraser@worldbank.org,sfraser@worldbank.org +URL,http://www.worldbank.org,http://www.worldbank.org +Dataset version,12,12 +Dataset purpose,"Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)","Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)" +Project title,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia ,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia +Countries,KAZ;KGZ;TJK;TKM;UZB,KAZ;KGZ;TJK;TKM;UZB +License,CC-BY-4.0,CC-BY-4.0 +Name,Stuart Fraser,Stuart Fraser +Email address,sfraser@worldbank.org,sfraser@worldbank.org +Name,Risk Engineering and Development,Risk Engineering and Development +URL,http://www.redrisk.com ,http://www.redrisk.com +Exposure category,buildings,buildings +Exposure taxonomy scheme,GED4ALL,GED4ALL diff --git a/examples/full/SFRARR_fluvialhazardmaps/Attributions.csv b/examples/full/SFRARR_fluvialhazardmaps/Attributions.csv new file mode 100644 index 00000000..4cf358e1 --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Attributions.csv @@ -0,0 +1,6 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 +Attribution identifier,0064232_1attr +Name,World Bank +Email address,chuang@worldbank.org +URL,http://www.worldbank.org +Role,custodian diff --git a/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets.csv b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets.csv new file mode 100644 index 00000000..f0e3536e --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets.csv @@ -0,0 +1,8 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 +Event set identifier,0064232_EventSet1 +Analysis type,probabilistic +Seasonality distribution,uniform +Calculation Method,simulated +Event count,10000 +Countries,KAZ;KGZ;TJK;TKM;UZB +Spatial scale,regional diff --git a/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events.csv b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events.csv new file mode 100644 index 00000000..2d9604ee --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events.csv @@ -0,0 +1,10 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232 +Event set identifier,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1 +Event identifier,0064232_EventSet1_KAZ_5,0064232_EventSet1_KAZ_10,0064232_EventSet1_KAZ_20,0064232_EventSet1_KAZ_50,0064232_EventSet1_KAZ_100,0064232_EventSet1_KAZ_200,0064232_EventSet1_KAZ_500,0064232_EventSet1_KAZ_1000,0064232_EventSet1_KGZ_5,0064232_EventSet1_KGZ_10,0064232_EventSet1_KGZ_20,0064232_EventSet1_KGZ_50,0064232_EventSet1_KGZ_100,0064232_EventSet1_KGZ_200,0064232_EventSet1_KGZ_500,0064232_EventSet1_KGZ_1000,0064232_EventSet1_TJK_5,0064232_EventSet1_TJK_10,0064232_EventSet1_TJK_20,0064232_EventSet1_TJK_50,0064232_EventSet1_TJK_100,0064232_EventSet1_TJK_200,0064232_EventSet1_TJK_500,0064232_EventSet1_TJK_1000,0064232_EventSet1_TKM_5,0064232_EventSet1_TKM_10,0064232_EventSet1_TKM_20,0064232_EventSet1_TKM_50,0064232_EventSet1_TKM_100,0064232_EventSet1_TKM_200,0064232_EventSet1_TKM_500,0064232_EventSet1_TKM_1000,0064232_EventSet1_UZB_5,0064232_EventSet1_UZB_10,0064232_EventSet1_UZB_20,0064232_EventSet1_UZB_50,0064232_EventSet1_UZB_100,0064232_EventSet1_UZB_200,0064232_EventSet1_UZB_500,0064232_EventSet1_UZB_1000 +Disaster identifier,n/a,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Model calculation method,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated +Hazard identifier,0064232_EventSet1_KAZ_5,0064232_EventSet1_KAZ_10,0064232_EventSet1_KAZ_20,0064232_EventSet1_KAZ_50,0064232_EventSet1_KAZ_100,0064232_EventSet1_KAZ_200,0064232_EventSet1_KAZ_500,0064232_EventSet1_KAZ_1000,0064232_EventSet1_KGZ_5,0064232_EventSet1_KGZ_10,0064232_EventSet1_KGZ_20,0064232_EventSet1_KGZ_50,0064232_EventSet1_KGZ_100,0064232_EventSet1_KGZ_200,0064232_EventSet1_KGZ_500,0064232_EventSet1_KGZ_1000,0064232_EventSet1_TJK_5,0064232_EventSet1_TJK_10,0064232_EventSet1_TJK_20,0064232_EventSet1_TJK_50,0064232_EventSet1_TJK_100,0064232_EventSet1_TJK_200,0064232_EventSet1_TJK_500,0064232_EventSet1_TJK_1000,0064232_EventSet1_TKM_5,0064232_EventSet1_TKM_10,0064232_EventSet1_TKM_20,0064232_EventSet1_TKM_50,0064232_EventSet1_TKM_100,0064232_EventSet1_TKM_200,0064232_EventSet1_TKM_500,0064232_EventSet1_TKM_1000,0064232_EventSet1_UZB_5,0064232_EventSet1_UZB_10,0064232_EventSet1_UZB_20,0064232_EventSet1_UZB_50,0064232_EventSet1_UZB_100,0064232_EventSet1_UZB_200,0064232_EventSet1_UZB_500,0064232_EventSet1_UZB_1000 +Hazard type,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood +Hazard processes,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood +Intensity measure,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m +Return period,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000 diff --git a/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events_Footprints.csv b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events_Footprints.csv new file mode 100644 index 00000000..acd4bbb5 --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events_Footprints.csv @@ -0,0 +1,5 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232 +Event set identifier,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1 +Event identifier,0064232_EventSet1_KAZ_5,0064232_EventSet1_KAZ_10,0064232_EventSet1_KAZ_20,0064232_EventSet1_KAZ_50,0064232_EventSet1_KAZ_100,0064232_EventSet1_KAZ_200,0064232_EventSet1_KAZ_500,0064232_EventSet1_KAZ_1000,0064232_EventSet1_KGZ_5,0064232_EventSet1_KGZ_10,0064232_EventSet1_KGZ_20,0064232_EventSet1_KGZ_50,0064232_EventSet1_KGZ_100,0064232_EventSet1_KGZ_200,0064232_EventSet1_KGZ_500,0064232_EventSet1_KGZ_1000,0064232_EventSet1_TJK_5,0064232_EventSet1_TJK_10,0064232_EventSet1_TJK_20,0064232_EventSet1_TJK_50,0064232_EventSet1_TJK_100,0064232_EventSet1_TJK_200,0064232_EventSet1_TJK_500,0064232_EventSet1_TJK_1000,0064232_EventSet1_TKM_5,0064232_EventSet1_TKM_10,0064232_EventSet1_TKM_20,0064232_EventSet1_TKM_50,0064232_EventSet1_TKM_100,0064232_EventSet1_TKM_200,0064232_EventSet1_TKM_500,0064232_EventSet1_TKM_1000,0064232_EventSet1_UZB_5,0064232_EventSet1_UZB_10,0064232_EventSet1_UZB_20,0064232_EventSet1_UZB_50,0064232_EventSet1_UZB_100,0064232_EventSet1_UZB_200,0064232_EventSet1_UZB_500,0064232_EventSet1_UZB_1000 +Footprint identifier,0064232_EventSet1_KAZ_5,0064232_EventSet1_KAZ_10,0064232_EventSet1_KAZ_20,0064232_EventSet1_KAZ_50,0064232_EventSet1_KAZ_100,0064232_EventSet1_KAZ_200,0064232_EventSet1_KAZ_500,0064232_EventSet1_KAZ_1000,0064232_EventSet1_KGZ_5,0064232_EventSet1_KGZ_10,0064232_EventSet1_KGZ_20,0064232_EventSet1_KGZ_50,0064232_EventSet1_KGZ_100,0064232_EventSet1_KGZ_200,0064232_EventSet1_KGZ_500,0064232_EventSet1_KGZ_1000,0064232_EventSet1_TJK_5,0064232_EventSet1_TJK_10,0064232_EventSet1_TJK_20,0064232_EventSet1_TJK_50,0064232_EventSet1_TJK_100,0064232_EventSet1_TJK_200,0064232_EventSet1_TJK_500,0064232_EventSet1_TJK_1000,0064232_EventSet1_TKM_5,0064232_EventSet1_TKM_10,0064232_EventSet1_TKM_20,0064232_EventSet1_TKM_50,0064232_EventSet1_TKM_100,0064232_EventSet1_TKM_200,0064232_EventSet1_TKM_500,0064232_EventSet1_TKM_1000,0064232_EventSet1_UZB_5,0064232_EventSet1_UZB_10,0064232_EventSet1_UZB_20,0064232_EventSet1_UZB_50,0064232_EventSet1_UZB_100,0064232_EventSet1_UZB_200,0064232_EventSet1_UZB_500,0064232_EventSet1_UZB_1000 +Hazard intensity measurement,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m diff --git a/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Hazards.csv b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Hazards.csv new file mode 100644 index 00000000..dbb986ab --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Hazards.csv @@ -0,0 +1,6 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 +Event set identifier,0064232_EventSet1 +Hazard identifier,0064232_EventSet1_FL +Hazard type,flood +Hazard processes,fluvial_flood +Intensity measure,fl_wd:m diff --git a/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Spatial coverage_Gazetteer entries.csv b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Spatial coverage_Gazetteer entries.csv new file mode 100644 index 00000000..9cfde234 --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Spatial coverage_Gazetteer entries.csv @@ -0,0 +1,5 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232 +Event set identifier,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1 +Gazetteer entry identifier,KAZ,KGZ,TJK,TKM,UZB +Scheme,ISO 3166-1 alpha-3,ISO 3166-1 alpha-3,ISO 3166-1 alpha-3,ISO 3166-1 alpha-3,ISO 3166-1 alpha-3 +Description,Kazakhstan,Kyrgyz Republic,Tajikistan,Turkmenistan,Uzbekistan diff --git a/examples/full/SFRARR_fluvialhazardmaps/Links.csv b/examples/full/SFRARR_fluvialhazardmaps/Links.csv new file mode 100644 index 00000000..74f6da51 --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Links.csv @@ -0,0 +1,3 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 +Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json +Link relation type,describedby diff --git a/examples/full/SFRARR_fluvialhazardmaps/Referenced by.csv b/examples/full/SFRARR_fluvialhazardmaps/Referenced by.csv new file mode 100644 index 00000000..df274b78 --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Referenced by.csv @@ -0,0 +1,6 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 +Related resource identifier,0064232_ref1 +Name,Central Asia flood hazard technical report - English version +Author names,Risk Engineering and Development +Publication date,2023-02-09 +URL,https://datacatalogfiles.worldbank.org/ddh-published/0064084/DR0090774/Task3_FloodHazard_Report_r5_EN.pdf?versionId=2023-07-21T17:34:14.1038579Z diff --git a/examples/full/SFRARR_fluvialhazardmaps/Resources.csv b/examples/full/SFRARR_fluvialhazardmaps/Resources.csv new file mode 100644 index 00000000..1d798ccd --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Resources.csv @@ -0,0 +1,9 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232,https://datacatalog.worldbank.org/search/dataset/0064232 +Resource identifier,0064232_res1,0064232_res2,0064232_res3,0064232_res4,0064232_res5,0064232_res6 +Resource title,Central Asia fluvial flood hazard maps - defended – KAZ 5-50y RP,Central Asia fluvial flood hazard maps - defended – KAZ 100-1000y RP,Central Asia fluvial flood hazard maps - defended - KGZ,Central Asia fluvial flood hazard maps - defended - TJK,Central Asia fluvial flood hazard maps - defended - TKM,Central Asia fluvial flood hazard maps - defended - UZB +Resource description,"Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset. Due to file size, this is a partial set of data covering 1-in-5-50y return period. See dataset “Central Asia fluvial flood hazard maps - defended – KAZ 100-1000y RP” for the remaining data.","Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset. Due to file size, this is a partial set of data covering 1-in-100-1000y return period. See dataset “Central Asia fluvial flood hazard maps - defended – KaZ 5-50y RP” for the remaining data.","Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset.","Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset.","Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset.","Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset." +Media type,image/tiff,image/tiff,image/tiff,image/tiff,image/tiff,image/tiff +Format,geotiff,geotiff,geotiff,geotiff,geotiff,geotiff +Spatial resolution,90,90,90,90,90,90 +Coordinate reference system,EPSG:4326,EPSG:4326,EPSG:4326,EPSG:4326,EPSG:4326,EPSG:4326 +resources/0/url,https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0092000/FLU_DEF_KAZ_5-50yRP.zip?versionId=2023-07-11T15:17:06.8346489Z,https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0092001/FLU_DEF_KAZ_100-1000yRP.zip?versionId=2023-07-11T15:17:09.5061377Z,https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091440/FLU_DEF_KGZ.zip?versionId=2023-07-11T15:16:59.0750434Z,https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091439/FLU_DEF_TJK.zip?versionId=2023-07-11T15:17:11.4860175Z,https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091768/FLU_DEF_TKM.zip?versionId=2023-07-11T15:17:01.5896193Z,https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091769/FLU_DEF_UZB.zip?versionId=2023-07-11T15:17:04.1441727Z diff --git a/examples/full/SFRARR_fluvialhazardmaps/Sources.csv b/examples/full/SFRARR_fluvialhazardmaps/Sources.csv new file mode 100644 index 00000000..ac0cfb3a --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Sources.csv @@ -0,0 +1,2 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 +Source identifier,0064232_1src diff --git a/examples/full/SFRARR_fluvialhazardmaps/Spatial coverage_Gazetteer entries.csv b/examples/full/SFRARR_fluvialhazardmaps/Spatial coverage_Gazetteer entries.csv new file mode 100644 index 00000000..956dd693 --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/Spatial coverage_Gazetteer entries.csv @@ -0,0 +1,3 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 +Gazetteer entry identifier,0064232_gaz1 +Scheme,ISO 3166-1 alpha-3 diff --git a/examples/full/SFRARR_fluvialhazardmaps/datasets.csv b/examples/full/SFRARR_fluvialhazardmaps/datasets.csv new file mode 100644 index 00000000..7875bfd5 --- /dev/null +++ b/examples/full/SFRARR_fluvialhazardmaps/datasets.csv @@ -0,0 +1,15 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 +Title,Central Asia flood hazard - fluvial flood hazard maps DEFENDED +Description,Simulated fluvial flood hazard maps with the simulated effects of flood protection. +Risk data type,hazard +Name,World Bank Europe and Central Asia DRM team +Email address,sfraser@worldbank.org +Dataset version,2 +Dataset purpose,Developed as part of a regional probabilistic flood and earthquake risk assessment under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia) +Project title,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia +Countries,KAZ;KGZ;TJK;TKM;UZB +Spatial scale,regional +License,CC-BY-4.0 +Name,Stuart Fraser +Email address,sfraser@worldbank.org +Name,Risk Engineering and Development diff --git a/examples/hazard/aqueduct/Hazard metadata_Event sets_Haza.csv b/examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv similarity index 100% rename from examples/hazard/aqueduct/Hazard metadata_Event sets_Haza.csv rename to examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv diff --git a/examples/hazard/aqueduct/Links.csv b/examples/hazard/aqueduct/Links.csv index 4634fc5e..5310cc7e 100644 --- a/examples/hazard/aqueduct/Links.csv +++ b/examples/hazard/aqueduct/Links.csv @@ -1,3 +1,3 @@ Dataset identifier,https://www.wri.org/data/aqueduct-floods-hazard-maps Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json -Link relation type,describedBy +Link relation type,describedby diff --git a/examples/hazard/aqueduct/Resources.csv b/examples/hazard/aqueduct/Resources.csv index 37378c53..efa0df74 100644 --- a/examples/hazard/aqueduct/Resources.csv +++ b/examples/hazard/aqueduct/Resources.csv @@ -4,5 +4,5 @@ Resource title,Flood hazard maps Resource description,Collection of fluvial and pluvial hazard maps; baseline and climate scenarios Format,geotiff Spatial resolution,1000 -Reference coordinate system,4326 -Url,http://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html +Coordinate reference system,EPSG:4326 +resources/0/url,http://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html diff --git a/examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv b/examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv similarity index 100% rename from examples/hazard/fathom/Hazard metadata_Event sets_Haza.csv rename to examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv diff --git a/examples/hazard/fathom/Links.csv b/examples/hazard/fathom/Links.csv index 5c3e6734..fcfe7cef 100644 --- a/examples/hazard/fathom/Links.csv +++ b/examples/hazard/fathom/Links.csv @@ -1,3 +1,3 @@ Dataset identifier,FTH_example Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json -Link relation type,describedBy +Link relation type,describedby diff --git a/examples/hazard/fathom/Resources.csv b/examples/hazard/fathom/Resources.csv index 1fb1b103..f09d1298 100644 --- a/examples/hazard/fathom/Resources.csv +++ b/examples/hazard/fathom/Resources.csv @@ -4,5 +4,5 @@ Resource title,Fluvial hazard - Undefended,Fluvial hazard - Defended,Pluvial haz Resource description,"Fluvial flood hazard maps (10), not accounting any flood defence","Fluvial flood hazard maps (10), accounting for flood defence (estimate)","Pluvial flood hazard maps (10), not accounting any flood defence" Format,geotiff,geotiff,geotiff Spatial resolution,90,90,90 -Reference coordinate system,4326,4326,4326 -Url,http://example.com/FTH-THA-fluvial-undefended,http://example.com/FTH-THA-fluvial-defended,http://example.com/FTH-THA-pluvial-undefended +Coordinate reference system,EPSG:4326,EPSG:4326,EPSG:4326 +resources/0/url,http://example.com/FTH-THA-fluvial-undefended,http://example.com/FTH-THA-fluvial-defended,http://example.com/FTH-THA-pluvial-undefended diff --git a/examples/vulnerability/flood_jrc/Attributions.csv b/examples/vulnerability/flood_jrc/Attributions.csv new file mode 100644 index 00000000..7069e688 --- /dev/null +++ b/examples/vulnerability/flood_jrc/Attributions.csv @@ -0,0 +1,5 @@ +Dataset identifier,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 +Attribution identifier,1,2 +Name,JRC,Jan Huizinga +URL,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688, +Role,distributor,author diff --git a/examples/vulnerability/flood_jrc/Links.csv b/examples/vulnerability/flood_jrc/Links.csv new file mode 100644 index 00000000..bcb44a2c --- /dev/null +++ b/examples/vulnerability/flood_jrc/Links.csv @@ -0,0 +1,3 @@ +Dataset identifier,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 +Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json +Link relation type,describedby diff --git a/examples/vulnerability/flood_jrc/Referenced by.csv b/examples/vulnerability/flood_jrc/Referenced by.csv new file mode 100644 index 00000000..5717c537 --- /dev/null +++ b/examples/vulnerability/flood_jrc/Referenced by.csv @@ -0,0 +1,7 @@ +Dataset identifier,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 +Related resource identifier,1 +Name,JRC Technical report - Global flood depth-damage functions +Author names,Jan Huizinga;Hans de Moel;Wojciech Szewczyk +Publication date,2017-04-12 +URL,https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/global_flood_depth-damage_functions__10042017.pdf +Digital object identifier,10.2760/16510 diff --git a/examples/vulnerability/flood_jrc/Resources.csv b/examples/vulnerability/flood_jrc/Resources.csv new file mode 100644 index 00000000..18e5b21a --- /dev/null +++ b/examples/vulnerability/flood_jrc/Resources.csv @@ -0,0 +1,6 @@ +Dataset identifier,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 +Resource identifier,1 +Resource title,Global flood depth-damage functions database +Resource description,"This spreadsheet contains two components required for flood damage assessment: fractional depth-damage functions and maximum damage values. The damage functions provide the share of asset that is damaged at a given flood depth, while the maximum damage values provide the associated maximum damage value for the given asset and, when combined together, they yield the monetary value of the damage." +Format,xlsx +resources/0/url,https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/copy_of_global_flood_depth-damage_functions__30102017.xlsx diff --git a/examples/vulnerability/flood_jrc/Vulnerability metadata_Asset cost.csv b/examples/vulnerability/flood_jrc/Vulnerability metadata_Asset cost.csv new file mode 100644 index 00000000..964443e1 --- /dev/null +++ b/examples/vulnerability/flood_jrc/Vulnerability metadata_Asset cost.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 +Cost identifier,1,2 +vulnerability/cost/0/type,structure,content +Cost unit,EUR,EUR diff --git a/examples/vulnerability/flood_jrc/datasets.csv b/examples/vulnerability/flood_jrc/datasets.csv new file mode 100644 index 00000000..c885cac0 --- /dev/null +++ b/examples/vulnerability/flood_jrc/datasets.csv @@ -0,0 +1,24 @@ +Dataset identifier,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 +Title,Global flood depth-damage functions +Description,This dataset contains damage curves depicting fractional damage function of water depth as well as maximum damage values for a variety of assets and land use classes. +Risk data type,vulnerability +Name,EU Joint Research Center (JRC) +URL,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 +Dataset version,2017 +Dataset purpose,"Assessing potential damage of flood events is an important component in flood risk management. Determining direct flood damage is commonly done using depth-damage curves, which denote the flood damage that would occur at specific water depths per asset or per land-use class. Many countries have developed flood damage models using depth-damage curves based on analysis of past flood events and on expert judgement. However, the fact that such damage curves are not available for all regions hampers damage assessments in some areas. Moreover, due to different methodologies employed for various damage models in different countries, damage assessments cannot be directly compared with each other, obstructing also supra-national flood damage assessments." +Additional details,"Based on an extensive literature survey concave damage curves have been developed for each continent, while differentiation in flood damage between countries is established by determining maximum damage values at the country scale. These maximum damage values are based on construction cost surveys from multinational construction companies, which provide a coherent set of detailed building cost data across dozens of countries. A consistent set of maximum flood damage values for all countries was computed using statistical regressions with socio-economic World Development Indicators. Further, based on insights from the literature survey, guidance is also given on how the damage curves and maximum damage values can be adjusted for specific local circumstances, such as urban vs. rural locations or use of specific building material. This dataset can be used for consistent supra-national scale flood damage assessments, and guide assessment in countries where no damage model is currently available." +Spatial scale,global +License,CC-BY-4.0 +Name,Mattia Amadio +Email address,mamadio@worldbank.org +Name,EU Joint Research Center (JRC) +Primary hazard type,flood +Hazard intensity measurement,fl_wd:m +Exposure category,buildings +Exposure taxonomy scheme,internal +Impact type,direct +Impact metric,damage_ratio +Impact unit,percentage +Impact base data type,inferred +Spatial scale,global +Fragility function approach,hybrid From 4539ca7c47ff57f8a6ae9eff35b845a2f84e14e5 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 12:21:25 +1200 Subject: [PATCH 26/37] examples: Split central asia exposure example into separate files --- .../Attributions.csv | 5 - .../Exposure metadata_Exposure metrics.csv | 4 - .../SFRARR_projectedResidential/Links.csv | 3 - .../Referenced by.csv | 4 - .../SFRARR_projectedResidential/Resources.csv | 20 --- .../SFRARR_projectedResidential/Sources.csv | 2 - .../Spatial coverage_Gazetteer entries.csv | 4 - .../SFRARR_projectedResidential/datasets.csv | 18 --- .../Attributions.csv | 5 + .../Exposure metadata_Exposure metrics.csv | 4 + .../Links.csv | 3 + .../Referenced by.csv | 4 + .../Resources.csv | 14 ++ .../Sources.csv | 2 + .../Spatial coverage_Gazetteer entries.csv | 4 + .../datasets.csv | 18 +++ .../example.json | 130 ----------------- .../Attributions.csv | 5 + .../Exposure metadata_Exposure metrics.csv | 4 + .../Links.csv | 3 + .../Referenced by.csv | 4 + .../Resources.csv | 15 ++ .../Sources.csv | 2 + .../Spatial coverage_Gazetteer entries.csv | 4 + .../datasets.csv | 18 +++ .../example.json | 134 ++++++++++++++++++ examples/vulnerability/flood_jrc/figure.png | Bin 0 -> 45557 bytes 27 files changed, 243 insertions(+), 190 deletions(-) delete mode 100644 examples/exposure/SFRARR_projectedResidential/Attributions.csv delete mode 100644 examples/exposure/SFRARR_projectedResidential/Exposure metadata_Exposure metrics.csv delete mode 100644 examples/exposure/SFRARR_projectedResidential/Links.csv delete mode 100644 examples/exposure/SFRARR_projectedResidential/Referenced by.csv delete mode 100644 examples/exposure/SFRARR_projectedResidential/Resources.csv delete mode 100644 examples/exposure/SFRARR_projectedResidential/Sources.csv delete mode 100644 examples/exposure/SFRARR_projectedResidential/Spatial coverage_Gazetteer entries.csv delete mode 100644 examples/exposure/SFRARR_projectedResidential/datasets.csv create mode 100644 examples/exposure/central_asia_residential_current/Attributions.csv create mode 100644 examples/exposure/central_asia_residential_current/Exposure metadata_Exposure metrics.csv create mode 100644 examples/exposure/central_asia_residential_current/Links.csv create mode 100644 examples/exposure/central_asia_residential_current/Referenced by.csv create mode 100644 examples/exposure/central_asia_residential_current/Resources.csv create mode 100644 examples/exposure/central_asia_residential_current/Sources.csv create mode 100644 examples/exposure/central_asia_residential_current/Spatial coverage_Gazetteer entries.csv create mode 100644 examples/exposure/central_asia_residential_current/datasets.csv rename examples/exposure/{SFRARR_projectedResidential => central_asia_residential_current}/example.json (53%) create mode 100644 examples/exposure/central_asia_residential_projected/Attributions.csv create mode 100644 examples/exposure/central_asia_residential_projected/Exposure metadata_Exposure metrics.csv create mode 100644 examples/exposure/central_asia_residential_projected/Links.csv create mode 100644 examples/exposure/central_asia_residential_projected/Referenced by.csv create mode 100644 examples/exposure/central_asia_residential_projected/Resources.csv create mode 100644 examples/exposure/central_asia_residential_projected/Sources.csv create mode 100644 examples/exposure/central_asia_residential_projected/Spatial coverage_Gazetteer entries.csv create mode 100644 examples/exposure/central_asia_residential_projected/datasets.csv create mode 100644 examples/exposure/central_asia_residential_projected/example.json create mode 100644 examples/vulnerability/flood_jrc/figure.png diff --git a/examples/exposure/SFRARR_projectedResidential/Attributions.csv b/examples/exposure/SFRARR_projectedResidential/Attributions.csv deleted file mode 100644 index c071f52f..00000000 --- a/examples/exposure/SFRARR_projectedResidential/Attributions.csv +++ /dev/null @@ -1,5 +0,0 @@ -Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings -Attribution identifier,0064254_attr1,0064254_attr2,0064251_attr1,0064251_attr2 -Name,Chi-Yun Huang,"OGS, Italy",Chi-Yun Huang,"OGS, Italy" -Email address,chuang@worldbank.org,,chuang@worldbank.org, -Role,custodian,collaborator,custodian,collaborator diff --git a/examples/exposure/SFRARR_projectedResidential/Exposure metadata_Exposure metrics.csv b/examples/exposure/SFRARR_projectedResidential/Exposure metadata_Exposure metrics.csv deleted file mode 100644 index 2cab7d0c..00000000 --- a/examples/exposure/SFRARR_projectedResidential/Exposure metadata_Exposure metrics.csv +++ /dev/null @@ -1,4 +0,0 @@ -Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings -Identifier,0064254_metric1,0064251_metric1 -Metric dimension,structure,structure -Metric quantity kind,currency,currency diff --git a/examples/exposure/SFRARR_projectedResidential/Links.csv b/examples/exposure/SFRARR_projectedResidential/Links.csv deleted file mode 100644 index 9c22e61c..00000000 --- a/examples/exposure/SFRARR_projectedResidential/Links.csv +++ /dev/null @@ -1,3 +0,0 @@ -Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings -Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json -Link relation type,describedby,describedby diff --git a/examples/exposure/SFRARR_projectedResidential/Referenced by.csv b/examples/exposure/SFRARR_projectedResidential/Referenced by.csv deleted file mode 100644 index 4f27dc7a..00000000 --- a/examples/exposure/SFRARR_projectedResidential/Referenced by.csv +++ /dev/null @@ -1,4 +0,0 @@ -Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings -Related resource identifier,0064254_ref1,0064254_ref2,0064251_ref1,0064251_ref2 -Name,Central Asia exposure data development technical report - English version,Central Asia exposure data development technical report - Russian version,Central Asia exposure data development technical report - English version,Central Asia exposure data development technical report - Russian version -URL,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z diff --git a/examples/exposure/SFRARR_projectedResidential/Resources.csv b/examples/exposure/SFRARR_projectedResidential/Resources.csv deleted file mode 100644 index 5dffa24f..00000000 --- a/examples/exposure/SFRARR_projectedResidential/Resources.csv +++ /dev/null @@ -1,20 +0,0 @@ -Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings -Resource identifier,0064254_res1,0064254_res2,0064254_res3,0064251_res1,0064251_res2,0064251_res3,0064251_res4,0064251_res5 -Resource title,"Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP1","Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP4","Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP5",Central Asia exposure dataset - Residential buildings - KAZ,Central Asia exposure dataset - Residential buildings - KGZ,Central Asia exposure dataset - Residential buildings - TJK,Central Asia exposure dataset - Residential buildings - TKM,Central Asia exposure dataset - Residential buildings - UZB -Resource description,"Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP1 -Dataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios. -Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv","Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP4 -Dataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios. -Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv","Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP5 -Dataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios. -Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv","Central Asia exposure layers – Residential buildings - KAZ -Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - KGZ -Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - TJK -Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - TKM -Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - UZB -Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp" -Format,csv,csv,csv,csv,csv,csv,csv,csv -Spatial resolution,500,500,500,500,500,500,500,500 -resources/0/url,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091991/P2080_SSP1.zip?versionId=2023-07-11T15:12:01.4656749Z,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091992/P2080_SSP4.zip?versionId=2023-07-11T15:12:06.1470219Z,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091993/P2080_SSP5.zip?versionId=2023-07-11T15:12:03.5145140Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091988/KAZ_residential_exposure.zip?versionId=2023-07-11T15:15:39.6450392Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091661/KGZ_residential_exposure.zip?versionId=2023-07-11T15:15:41.4460187Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091660/TJK_residential_exposure.zip?versionId=2023-07-11T15:15:37.7301236Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091659/TKM_residential_exposure.zip?versionId=2023-07-11T15:15:34.9986705Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091989/UZB_residential_exposure.zip?versionId=2023-07-11T15:15:43.2479984Z -Start,2080,2080,2080,2020,2020,2020,2020,2020 -End date,2080,2080,2080,2020,2020,2020,2020,2020 diff --git a/examples/exposure/SFRARR_projectedResidential/Sources.csv b/examples/exposure/SFRARR_projectedResidential/Sources.csv deleted file mode 100644 index 0f5c8535..00000000 --- a/examples/exposure/SFRARR_projectedResidential/Sources.csv +++ /dev/null @@ -1,2 +0,0 @@ -Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings -Source identifier,0064254_src1,0064251_src1 diff --git a/examples/exposure/SFRARR_projectedResidential/Spatial coverage_Gazetteer entries.csv b/examples/exposure/SFRARR_projectedResidential/Spatial coverage_Gazetteer entries.csv deleted file mode 100644 index 59ada2f0..00000000 --- a/examples/exposure/SFRARR_projectedResidential/Spatial coverage_Gazetteer entries.csv +++ /dev/null @@ -1,4 +0,0 @@ -Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings -Gazetteer entry identifier,0064254_spatial1,0064251_spatial1 -Scheme,ISO 3166-1 alpha-3,ISO 3166-1 alpha-3 -Description,"Central Asia: KAZ, KGZ, TJK, TKM, UZB","Central Asia: KAZ, KGZ, TJK, TKM, UZB" diff --git a/examples/exposure/SFRARR_projectedResidential/datasets.csv b/examples/exposure/SFRARR_projectedResidential/datasets.csv deleted file mode 100644 index ea44e620..00000000 --- a/examples/exposure/SFRARR_projectedResidential/datasets.csv +++ /dev/null @@ -1,18 +0,0 @@ -Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings -Title,Central-Asia-exposure-dataset---Projected-residential-exposure,Central-Asia-exposure-dataset---Current-residential-exposure -Description,"Regional layer of residential buildings in Central Asia, projected to 2080",Regional layer of residential buildings in Central Asia -Risk data type,exposure,exposure -Name,World Bank,World Bank -Email address,sfraser@worldbank.org,sfraser@worldbank.org -URL,http://www.worldbank.org,http://www.worldbank.org -Dataset version,12,12 -Dataset purpose,"Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)","Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)" -Project title,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia ,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia -Countries,KAZ;KGZ;TJK;TKM;UZB,KAZ;KGZ;TJK;TKM;UZB -License,CC-BY-4.0,CC-BY-4.0 -Name,Stuart Fraser,Stuart Fraser -Email address,sfraser@worldbank.org,sfraser@worldbank.org -Name,Risk Engineering and Development,Risk Engineering and Development -URL,http://www.redrisk.com ,http://www.redrisk.com -Exposure category,buildings,buildings -Exposure taxonomy scheme,GED4ALL,GED4ALL diff --git a/examples/exposure/central_asia_residential_current/Attributions.csv b/examples/exposure/central_asia_residential_current/Attributions.csv new file mode 100644 index 00000000..b3bccfe0 --- /dev/null +++ b/examples/exposure/central_asia_residential_current/Attributions.csv @@ -0,0 +1,5 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Attribution identifier,0064251_attr1,0064251_attr2 +Name,Chi-Yun Huang,"OGS, Italy" +Email address,chuang@worldbank.org, +Role,custodian,collaborator diff --git a/examples/exposure/central_asia_residential_current/Exposure metadata_Exposure metrics.csv b/examples/exposure/central_asia_residential_current/Exposure metadata_Exposure metrics.csv new file mode 100644 index 00000000..1ded8ec2 --- /dev/null +++ b/examples/exposure/central_asia_residential_current/Exposure metadata_Exposure metrics.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Identifier,0064251_metric1 +Metric dimension,structure +Metric quantity kind,currency diff --git a/examples/exposure/central_asia_residential_current/Links.csv b/examples/exposure/central_asia_residential_current/Links.csv new file mode 100644 index 00000000..a45c40b5 --- /dev/null +++ b/examples/exposure/central_asia_residential_current/Links.csv @@ -0,0 +1,3 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json +Link relation type,describedby diff --git a/examples/exposure/central_asia_residential_current/Referenced by.csv b/examples/exposure/central_asia_residential_current/Referenced by.csv new file mode 100644 index 00000000..520cb07e --- /dev/null +++ b/examples/exposure/central_asia_residential_current/Referenced by.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Related resource identifier,0064251_ref1,0064251_ref2 +Name,Central Asia exposure data development technical report - English version,Central Asia exposure data development technical report - Russian version +URL,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z diff --git a/examples/exposure/central_asia_residential_current/Resources.csv b/examples/exposure/central_asia_residential_current/Resources.csv new file mode 100644 index 00000000..639afe7d --- /dev/null +++ b/examples/exposure/central_asia_residential_current/Resources.csv @@ -0,0 +1,14 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Resource identifier,0064251_res1,0064251_res2,0064251_res3,0064251_res4,0064251_res5 +Resource title,Central Asia exposure dataset - Residential buildings - KAZ,Central Asia exposure dataset - Residential buildings - KGZ,Central Asia exposure dataset - Residential buildings - TJK,Central Asia exposure dataset - Residential buildings - TKM,Central Asia exposure dataset - Residential buildings - UZB +Resource description,"Central Asia exposure layers – Residential buildings - KAZ +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - KGZ +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - TJK +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - TKM +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp","Central Asia exposure layers – Residential buildings - UZB +Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp" +Format,csv,csv,csv,csv,csv +Spatial resolution,500,500,500,500,500 +resources/0/url,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091988/KAZ_residential_exposure.zip?versionId=2023-07-11T15:15:39.6450392Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091661/KGZ_residential_exposure.zip?versionId=2023-07-11T15:15:41.4460187Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091660/TJK_residential_exposure.zip?versionId=2023-07-11T15:15:37.7301236Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091659/TKM_residential_exposure.zip?versionId=2023-07-11T15:15:34.9986705Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091989/UZB_residential_exposure.zip?versionId=2023-07-11T15:15:43.2479984Z +Start,2020,2020,2020,2020,2020 +End date,2020,2020,2020,2020,2020 diff --git a/examples/exposure/central_asia_residential_current/Sources.csv b/examples/exposure/central_asia_residential_current/Sources.csv new file mode 100644 index 00000000..6d1ec570 --- /dev/null +++ b/examples/exposure/central_asia_residential_current/Sources.csv @@ -0,0 +1,2 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Source identifier,0064251_src1 diff --git a/examples/exposure/central_asia_residential_current/Spatial coverage_Gazetteer entries.csv b/examples/exposure/central_asia_residential_current/Spatial coverage_Gazetteer entries.csv new file mode 100644 index 00000000..5c61bbfc --- /dev/null +++ b/examples/exposure/central_asia_residential_current/Spatial coverage_Gazetteer entries.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Gazetteer entry identifier,0064251_spatial1 +Scheme,ISO 3166-1 alpha-3 +Description,"Central Asia: KAZ, KGZ, TJK, TKM, UZB" diff --git a/examples/exposure/central_asia_residential_current/datasets.csv b/examples/exposure/central_asia_residential_current/datasets.csv new file mode 100644 index 00000000..63756169 --- /dev/null +++ b/examples/exposure/central_asia_residential_current/datasets.csv @@ -0,0 +1,18 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings +Title,Central-Asia-exposure-dataset---Current-residential-exposure +Description,Regional layer of residential buildings in Central Asia +Risk data type,exposure +Name,World Bank +Email address,sfraser@worldbank.org +URL,http://www.worldbank.org +Dataset version,12 +Dataset purpose,"Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)" +Project title,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia +Countries,KAZ;KGZ;TJK;TKM;UZB +License,CC-BY-4.0 +Name,Stuart Fraser +Email address,sfraser@worldbank.org +Name,Risk Engineering and Development +URL,http://www.redrisk.com +Exposure category,buildings +Exposure taxonomy scheme,GED4ALL diff --git a/examples/exposure/SFRARR_projectedResidential/example.json b/examples/exposure/central_asia_residential_current/example.json similarity index 53% rename from examples/exposure/SFRARR_projectedResidential/example.json rename to examples/exposure/central_asia_residential_current/example.json index 933dff59..127ee8cf 100644 --- a/examples/exposure/SFRARR_projectedResidential/example.json +++ b/examples/exposure/central_asia_residential_current/example.json @@ -1,135 +1,5 @@ { "datasets": [ - { - "id": "https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure", - "title": "Central-Asia-exposure-dataset---Projected-residential-exposure", - "description": "Regional layer of residential buildings in Central Asia, projected to 2080", - "risk_data_type": [ - "exposure" - ], - "publisher": { - "name": "World Bank", - "email": "sfraser@worldbank.org", - "url": "http://www.worldbank.org" - }, - "version": "12", - "purpose": "Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)", - "project": "Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia ", - "spatial": { - "countries": [ - "KAZ", - "KGZ", - "TJK", - "TKM", - "UZB" - ], - "gazetteerEntries": [ - { - "id": "0064254_spatial1", - "scheme": "ISO 3166-1 alpha-3", - "description": "Central Asia: KAZ, KGZ, TJK, TKM, UZB" - } - ] - }, - "license": "CC-BY-4.0", - "contact_point": { - "name": "Stuart Fraser", - "email": "sfraser@worldbank.org" - }, - "creator": { - "name": "Risk Engineering and Development", - "url": "http://www.redrisk.com " - }, - "exposure": { - "category": "buildings", - "taxonomy": "GED4ALL", - "metrics": [ - { - "id": "0064254_metric1", - "dimension": "structure", - "quantity_kind": "currency" - } - ] - }, - "attributions": [ - { - "id": "0064254_attr1", - "entity": { - "name": "Chi-Yun Huang", - "email": "chuang@worldbank.org" - }, - "role": "custodian" - }, - { - "id": "0064254_attr2", - "entity": { - "name": "OGS, Italy" - }, - "role": "collaborator" - } - ], - "sources": [ - { - "id": "0064254_src1" - } - ], - "referenced_by": [ - { - "id": "0064254_ref1", - "name": "Central Asia exposure data development technical report - English version", - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z" - }, - { - "id": "0064254_ref2", - "name": "Central Asia exposure data development technical report - Russian version", - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z" - } - ], - "resources": [ - { - "id": "0064254_res1", - "title": "Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP1", - "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP1\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", - "format": "csv", - "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091991/P2080_SSP1.zip?versionId=2023-07-11T15:12:01.4656749Z", - "temporal": { - "start": "2080", - "end": "2080" - } - }, - { - "id": "0064254_res2", - "title": "Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP4", - "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP4\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", - "format": "csv", - "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091992/P2080_SSP4.zip?versionId=2023-07-11T15:12:06.1470219Z", - "temporal": { - "start": "2080", - "end": "2080" - } - }, - { - "id": "0064254_res3", - "title": "Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP5", - "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP5\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", - "format": "csv", - "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091993/P2080_SSP5.zip?versionId=2023-07-11T15:12:03.5145140Z", - "temporal": { - "start": "2080", - "end": "2080" - } - } - ], - "links": [ - { - "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", - "rel": "describedby" - } - ] - }, { "id": "https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings", "title": "Central-Asia-exposure-dataset---Current-residential-exposure", diff --git a/examples/exposure/central_asia_residential_projected/Attributions.csv b/examples/exposure/central_asia_residential_projected/Attributions.csv new file mode 100644 index 00000000..6d44da02 --- /dev/null +++ b/examples/exposure/central_asia_residential_projected/Attributions.csv @@ -0,0 +1,5 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure +Attribution identifier,0064254_attr1,0064254_attr2 +Name,Chi-Yun Huang,"OGS, Italy" +Email address,chuang@worldbank.org, +Role,custodian,collaborator diff --git a/examples/exposure/central_asia_residential_projected/Exposure metadata_Exposure metrics.csv b/examples/exposure/central_asia_residential_projected/Exposure metadata_Exposure metrics.csv new file mode 100644 index 00000000..a120d14e --- /dev/null +++ b/examples/exposure/central_asia_residential_projected/Exposure metadata_Exposure metrics.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure +Identifier,0064254_metric1 +Metric dimension,structure +Metric quantity kind,currency diff --git a/examples/exposure/central_asia_residential_projected/Links.csv b/examples/exposure/central_asia_residential_projected/Links.csv new file mode 100644 index 00000000..92e0bce5 --- /dev/null +++ b/examples/exposure/central_asia_residential_projected/Links.csv @@ -0,0 +1,3 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure +Link target,https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json +Link relation type,describedby diff --git a/examples/exposure/central_asia_residential_projected/Referenced by.csv b/examples/exposure/central_asia_residential_projected/Referenced by.csv new file mode 100644 index 00000000..081921fe --- /dev/null +++ b/examples/exposure/central_asia_residential_projected/Referenced by.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure +Related resource identifier,0064254_ref1,0064254_ref2 +Name,Central Asia exposure data development technical report - English version,Central Asia exposure data development technical report - Russian version +URL,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z,https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z diff --git a/examples/exposure/central_asia_residential_projected/Resources.csv b/examples/exposure/central_asia_residential_projected/Resources.csv new file mode 100644 index 00000000..3e4987cf --- /dev/null +++ b/examples/exposure/central_asia_residential_projected/Resources.csv @@ -0,0 +1,15 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure +Resource identifier,0064254_res1,0064254_res2,0064254_res3 +Resource title,"Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP1","Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP4","Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP5" +Resource description,"Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP1 +Dataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios. +Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv","Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP4 +Dataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios. +Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv","Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP5 +Dataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios. +Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv" +Format,csv,csv,csv +Spatial resolution,500,500,500 +resources/0/url,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091991/P2080_SSP1.zip?versionId=2023-07-11T15:12:01.4656749Z,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091992/P2080_SSP4.zip?versionId=2023-07-11T15:12:06.1470219Z,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091993/P2080_SSP5.zip?versionId=2023-07-11T15:12:03.5145140Z +Start,2080,2080,2080 +End date,2080,2080,2080 diff --git a/examples/exposure/central_asia_residential_projected/Sources.csv b/examples/exposure/central_asia_residential_projected/Sources.csv new file mode 100644 index 00000000..7846c4fe --- /dev/null +++ b/examples/exposure/central_asia_residential_projected/Sources.csv @@ -0,0 +1,2 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure +Source identifier,0064254_src1 diff --git a/examples/exposure/central_asia_residential_projected/Spatial coverage_Gazetteer entries.csv b/examples/exposure/central_asia_residential_projected/Spatial coverage_Gazetteer entries.csv new file mode 100644 index 00000000..e7700032 --- /dev/null +++ b/examples/exposure/central_asia_residential_projected/Spatial coverage_Gazetteer entries.csv @@ -0,0 +1,4 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure +Gazetteer entry identifier,0064254_spatial1 +Scheme,ISO 3166-1 alpha-3 +Description,"Central Asia: KAZ, KGZ, TJK, TKM, UZB" diff --git a/examples/exposure/central_asia_residential_projected/datasets.csv b/examples/exposure/central_asia_residential_projected/datasets.csv new file mode 100644 index 00000000..6662327a --- /dev/null +++ b/examples/exposure/central_asia_residential_projected/datasets.csv @@ -0,0 +1,18 @@ +Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure +Title,Central-Asia-exposure-dataset---Projected-residential-exposure +Description,"Regional layer of residential buildings in Central Asia, projected to 2080" +Risk data type,exposure +Name,World Bank +Email address,sfraser@worldbank.org +URL,http://www.worldbank.org +Dataset version,12 +Dataset purpose,"Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)" +Project title,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia +Countries,KAZ;KGZ;TJK;TKM;UZB +License,CC-BY-4.0 +Name,Stuart Fraser +Email address,sfraser@worldbank.org +Name,Risk Engineering and Development +URL,http://www.redrisk.com +Exposure category,buildings +Exposure taxonomy scheme,GED4ALL diff --git a/examples/exposure/central_asia_residential_projected/example.json b/examples/exposure/central_asia_residential_projected/example.json new file mode 100644 index 00000000..2c68cd91 --- /dev/null +++ b/examples/exposure/central_asia_residential_projected/example.json @@ -0,0 +1,134 @@ +{ + "datasets": [ + { + "id": "https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure", + "title": "Central-Asia-exposure-dataset---Projected-residential-exposure", + "description": "Regional layer of residential buildings in Central Asia, projected to 2080", + "risk_data_type": [ + "exposure" + ], + "publisher": { + "name": "World Bank", + "email": "sfraser@worldbank.org", + "url": "http://www.worldbank.org" + }, + "version": "12", + "purpose": "Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)", + "project": "Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia ", + "spatial": { + "countries": [ + "KAZ", + "KGZ", + "TJK", + "TKM", + "UZB" + ], + "gazetteerEntries": [ + { + "id": "0064254_spatial1", + "scheme": "ISO 3166-1 alpha-3", + "description": "Central Asia: KAZ, KGZ, TJK, TKM, UZB" + } + ] + }, + "license": "CC-BY-4.0", + "contact_point": { + "name": "Stuart Fraser", + "email": "sfraser@worldbank.org" + }, + "creator": { + "name": "Risk Engineering and Development", + "url": "http://www.redrisk.com " + }, + "exposure": { + "category": "buildings", + "taxonomy": "GED4ALL", + "metrics": [ + { + "id": "0064254_metric1", + "dimension": "structure", + "quantity_kind": "currency" + } + ] + }, + "attributions": [ + { + "id": "0064254_attr1", + "entity": { + "name": "Chi-Yun Huang", + "email": "chuang@worldbank.org" + }, + "role": "custodian" + }, + { + "id": "0064254_attr2", + "entity": { + "name": "OGS, Italy" + }, + "role": "collaborator" + } + ], + "sources": [ + { + "id": "0064254_src1" + } + ], + "referenced_by": [ + { + "id": "0064254_ref1", + "name": "Central Asia exposure data development technical report - English version", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091010/Task4_Exposure_Report_r6_EN.pdf?versionId=2023-07-21T17:33:32.2845222Z" + }, + { + "id": "0064254_ref2", + "name": "Central Asia exposure data development technical report - Russian version", + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064117/DR0091011/Task4_Exposure_Report_r6_RU.pdf?versionId=2023-07-21T17:33:26.6527091Z" + } + ], + "resources": [ + { + "id": "0064254_res1", + "title": "Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP1", + "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP1\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091991/P2080_SSP1.zip?versionId=2023-07-11T15:12:01.4656749Z", + "temporal": { + "start": "2080", + "end": "2080" + } + }, + { + "id": "0064254_res2", + "title": "Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP4", + "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP4\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091992/P2080_SSP4.zip?versionId=2023-07-11T15:12:06.1470219Z", + "temporal": { + "start": "2080", + "end": "2080" + } + }, + { + "id": "0064254_res3", + "title": "Central Asia projected (2080) residential exposure - all countries, Oblast level: SSP5", + "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP5\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", + "format": "csv", + "spatial_resolution": 500, + "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091993/P2080_SSP5.zip?versionId=2023-07-11T15:12:03.5145140Z", + "temporal": { + "start": "2080", + "end": "2080" + } + } + ], + "links": [ + { + "href": "https://raw.githubusercontent.com/GFDRR/rdl-standard/0__2__0/schema/rdls_schema.json", + "rel": "describedby" + } + ] + } + ] +} diff --git a/examples/vulnerability/flood_jrc/figure.png b/examples/vulnerability/flood_jrc/figure.png new file mode 100644 index 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zk^Sw5Hbo>lQ)j_tMG+688agDnIF!jC{OBf@r#cLd?K^f{hTWEexDpUBk)M9y<=@mq(*^qpC$yE%?9XpnoBbGdslt8?s zFm`Q~CXrUq3(Ytll6J-DlAex^&Uf;}{#&-Z*oM@>&+--(Mj~^{T`#{FaYY2^fdJx? zcj*;>TJ!`wUnfB!8Xd>@z#aH<&ZWt4pYg)P4m<19`g3hO^7MOcMJ!k|N!T|X3&SA0 zhdbL18VhZiiILH6tRRL7Z9bSwL^|x<(9oR8EX=ze&N6A@oP~cFHWWvw^KP+(CH}Xq z*S~KK{C`-LlWpVDdM9c@J4QT{@d)YHB?Jr1;ZcmeN0C;;d-;Do8=Pgv-&YW~;eT#C e|4*O3j!Z3~D50JHe&09+ew@_QJC>(z7VsZDQQ+YK literal 0 HcmV?d00001 From 6d31f327c2a84d68ab753b054b25ae31b801e40f Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 12:21:57 +1200 Subject: [PATCH 27/37] docs/reference/schema.md: Update examples --- docs/reference/schema.md | 418 +++++++++++++++++++++++++++++---------- 1 file changed, 319 insertions(+), 99 deletions(-) diff --git a/docs/reference/schema.md b/docs/reference/schema.md index b5b65873..0ff2049a 100644 --- a/docs/reference/schema.md +++ b/docs/reference/schema.md @@ -144,7 +144,11 @@ addtargets: --- ``` -The following example shows RDLS metadata for the [Fathom Global Flood Map](https://www.fathom.global/product/global-flood-map/) in tabular format and JSON format: +``````{dropdown} Example: Fathom Global Flood Map +--- +open: +--- +The following example shows RDLS metadata for the [Fathom Global Flood Map](https://www.fathom.global/product/global-flood-map/) in tabular format and JSON format. `````{tab-set} @@ -157,7 +161,7 @@ The following example shows RDLS metadata for the [Fathom Global Flood Map](http ````{tab-item} Metadata (tabular) -In tabular format, the metadata consists of three tables. To aid comprehension, the metadata is presented column wise using field titles. +In tabular format, the metadata consists of several tables. To aid comprehension, the metadata is presented column wise using field titles. ```{csv-table-no-translate} Datasets --- @@ -168,6 +172,15 @@ file: ../../examples/hazard/fathom/datasets.csv ``` +```{csv-table-no-translate} Resources +--- +stub-columns: 1 +widths: auto +file: ../../examples/hazard/fathom/Resources.csv +--- + +``` + ```{csv-table-no-translate} Event sets --- stub-columns: 1 @@ -199,6 +212,75 @@ file: ../../examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv ```` ````` +`````` + +``````{dropdown} Example: Aqueduct Floods Hazard Maps + +The following example shows RDLS metadata for the [Aqueduct Floods Hazard Maps](https://www.wri.org/data/aqueduct-floods-hazard-maps) in tabular format and JSON format. + +`````{tab-set} + +````{tab-item} Figure + +```{figure} ../../examples/hazard/aqueduct/figure.png +``` + +```` + +````{tab-item} Metadata (tabular) + +In tabular format, the metadata consists of several tables. To aid comprehension, the metadata is presented column wise using field titles. + +```{csv-table-no-translate} Datasets +--- +stub-columns: 1 +widths: auto +file: ../../examples/hazard/aqueduct/datasets.csv +--- + +``` + +```{csv-table-no-translate} Resources +--- +stub-columns: 1 +widths: auto +file: ../../examples/hazard/aqueduct/Resources.csv +--- + +``` + +```{csv-table-no-translate} Event sets +--- +stub-columns: 1 +widths: auto +file: ../../examples/hazard/aqueduct/Hazard metadata_Event sets.csv +--- + +``` + +```{csv-table-no-translate} Event set hazards +--- +stub-columns: 1 +widths: auto +file: ../../examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv +--- + +``` + +```` + +````{tab-item} Metadata (JSON) + +```{eval-rst} +.. jsoninclude:: ../../examples/hazard/aqueduct/example.json + :jsonpointer: + :title: Example +``` + +```` + +````` +`````` ## Exposure @@ -226,10 +308,6 @@ The exposure component uses exposure categories consistent with the vulnerabilit } ``` -`````{tab-set} - -````{tab-item} Schema - ```{jsonschema} ../../docs/_readthedocs/html/rdls_schema.json --- pointer: /properties/exposure @@ -238,40 +316,181 @@ addtargets: --- ``` +``````{dropdown} Example: Central Asia projected residential exposure dataset + +The following example shows RDLS metadata for the [Central Asia projected residential exposure dataset](https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure) in tabular format and JSON format. + +`````{tab-set} + +````{tab-item} Metadata (tabular) + +In tabular format, the metadata consists of several tables. To aid comprehension, the metadata is presented column wise using field titles. + +```{csv-table-no-translate} Datasets +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_projected/datasets.csv +--- + +``` + +```{csv-table-no-translate} Resources +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_projected/Resources.csv +--- + +``` + +```{csv-table-no-translate} Attributions +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_projected/Attributions.csv +--- + +``` + +```{csv-table-no-translate} Referenced by +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_projected/Referenced by.csv +--- + +``` + +```{csv-table-no-translate} Sources +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_projected/Sources.csv +--- + +``` + +```{csv-table-no-translate} Gazetteer entries (spatial coverage) +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_projected/Spatial coverage_Gazetteer entries.csv +--- + +``` + +```{csv-table-no-translate} Exposure metrics +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_projected/Exposure metadata_Exposure metrics.csv +--- + +``` + ```` -````{tab-item} Examples +````{tab-item} Metadata (JSON) + +```{eval-rst} +.. jsoninclude:: ../../examples/exposure/central_asia_residential_projected/example.json + :jsonpointer: + :title: Example +``` + +```` + +````` +`````` + +``````{dropdown} Example: Central Asia current residential exposure dataset + +The following example shows RDLS metadata for the [Central Asia current residential exposure dataset](https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings) in tabular format and JSON format. + +`````{tab-set} + +````{tab-item} Metadata (tabular) + +In tabular format, the metadata consists of several tables. To aid comprehension, the metadata is presented column wise using field titles. + +```{csv-table-no-translate} Datasets +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_current/datasets.csv +--- + +``` + +```{csv-table-no-translate} Resources +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_current/Resources.csv +--- + +``` + +```{csv-table-no-translate} Attributions +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_current/Attributions.csv +--- + +``` + +```{csv-table-no-translate} Referenced by +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_current/Referenced by.csv +--- + +``` + +```{csv-table-no-translate} Sources +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_current/Sources.csv +--- + +``` -Exposure data can be stored at multiple scales, more often using vectors, namely polygons (e.g. building footprint), points (e.g. asset geolocation) and lines (e.g. transport infrastructures, lifelines), but in same case exposure estimates are aggregated at ADM level or distributed over a raster grid. +```{csv-table-no-translate} Gazetteer entries (spatial coverage) +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_current/Spatial coverage_Gazetteer entries.csv +--- -**Exposure map for Kabul** +``` -Two exposure datasets are shown together in the example: building footprints polygons and population density raster at 90 m resolution. +```{csv-table-no-translate} Exposure metrics +--- +stub-columns: 1 +widths: auto +file: ../../examples/exposure/central_asia_residential_current/Exposure metadata_Exposure metrics.csv +--- -![Exposure example](../img/sample_exp.jpg) +``` -| **Required** | **Attribute** | **Example** | -| :----------: | ------------------- | ----------- | -| \* | Geographic coverage | Afghanistan | -| \* | Exposure category | Buildings | -| \* | Occupancy | Mixed | -| | Taxonomy | OSM | -| \* | Value type | Structure | -| \* | Unit of measure | USD | +```` -| **Required** | **Attribute** | **Example** | -| :----------: | ------------------- | ----------- | -| \* | Geographic coverage | Afghanistan | -| \* | Exposure category | Indicators | -| \* | Occupancy | Residential | -| | Period of occupancy | Night | -| \* | Value type | Other | -| \* | Unit of measure | Count | +````{tab-item} Metadata (JSON) +```{eval-rst} +.. jsoninclude:: ../../examples/exposure/central_asia_residential_current/example.json + :jsonpointer: + :title: Example +``` ```` ````` +`````` ## Vulnerability @@ -300,10 +519,6 @@ The vulnerability component uses hazard_type, process_type and intensity_measure } ``` -`````{tab-set} - -````{tab-item} Schema - ```{jsonschema} ../../docs/_readthedocs/html/rdls_schema.json --- pointer: /properties/vulnerability @@ -312,9 +527,82 @@ addtargets: --- ``` +``````{dropdown} Example: Global flood depth-damage functions +:open: + +The following example shows RDLS metadata for the [Global flood depth-damage functions](https://publications.jrc.ec.europa.eu/repository/handle/JRC105688) in tabular format and JSON format. + +`````{tab-set} + +````{tab-item} Figure + +```{figure} ../../examples/vulnerability/flood_jrc/figure.png +``` +```` + +````{tab-item} Metadata (tabular) + +In tabular format, the metadata consists of several tables. To aid comprehension, the metadata is presented column wise using field titles. + +```{csv-table-no-translate} Datasets +--- +stub-columns: 1 +widths: auto +file: ../../examples/vulnerability/flood_jrc/datasets.csv +--- + +``` + +```{csv-table-no-translate} Resources +--- +stub-columns: 1 +widths: auto +file: ../../examples/vulnerability/flood_jrc/Resources.csv +--- + +``` + +```{csv-table-no-translate} Attributions +--- +stub-columns: 1 +widths: auto +file: ../../examples/vulnerability/flood_jrc/Attributions.csv +--- + +``` + +```{csv-table-no-translate} Referenced by +--- +stub-columns: 1 +widths: auto +file: ../../examples/vulnerability/flood_jrc/Referenced by.csv +--- + +``` + +```{csv-table-no-translate} Asset costs +--- +stub-columns: 1 +widths: auto +file: ../../examples/vulnerability/flood_jrc/Vulnerability metadata_Asset cost.csv +--- + +``` + +```` + +````{tab-item} Metadata (JSON) + +```{eval-rst} +.. jsoninclude:: ../../examples/vulnerability/flood_jrc/example.json + :jsonpointer: + :title: Example +``` + ```` ````` +`````` ## Loss @@ -350,10 +638,6 @@ Loss datasets can be explicitly linked to the exposure, hazard, and vulnerabilit } ``` -`````{tab-set} - -````{tab-item} Schema - ```{jsonschema} ../../docs/_readthedocs/html/rdls_schema.json --- pointer: /properties/loss @@ -362,70 +646,6 @@ addtargets: --- ``` -```` - -````{tab-item} Examples - -Losses can be represented in many different way: regular raster grids, points, or polygons. Often, the loss data consist of measures aggregated at the administrative unit level. - -**Flood loss scenarios for Afghanistan, 2050** - -Schema attributes for loss map related to future river flood hazard scenarios (2050) over all types of exposure occupancies for Afghanistan. - -![Flood losses in Afghanistan](../img/lss_fl_afg.jpg) - -The losses are higher in the most densely built-up area of Kabul. - -![Flood losses in Kabul](../img/lss_fl_kabul.jpg) - -| **Required** | **Attribute** | **Example** | -| :----------: | ---------------------- | ----------------------------------------------------------------------- | -| \* | Hazard type | Flood | -| | Hazard process | River flood | -| \* | Exposure occupancy | Mixed | -| \* | Exposure category | Buildings | -| \* | Value type | Structure | -| | Hazard link | [Dataset](http://jkan.riskdatalibrary.org/datasets/hzd-afg-fl-baseline) | -| | Exposure link | | -| | Vulnerability link | | -| | Time year | 2050 | -| | Frequency type | Return Period | -| | Occurrence probability | RP 5-1000 years | -| \* | Impact | Direct | -| \* | Loss type | Ground up | -| \* | Metric | Average Annual Losses | -| \* | Unit | USD | - -______________________________________________________________________ - -Losses can be investigated as total or for individual exposed asset and infrastructure elements. - -![Example of data showing exposed roads in Afghanistan](../img/exp_afg_roads.jpg) - -______________________________________________________________________ - -**Observed losses** - -Insert example of recorded empirical losses. - -| **Required** | **Attribute** | **Example** | -| :----------: | ----------------------- | ------------- | -| \* | Hazard type | Earthquake | -| \* | Analysis type | Probabilistic | -| \* | Calculation method | Simulated | -| | Frequency type | Return Period | -| | Occurrence probability | 1000 years | -| | Occurrence time (start) | 800 | -| | Occurrence time (end) | 2001 | -| | Occurrence time (span) | 1200 years | -| \* | Hazard process | Ground motion | -| \* | Unit of measure | PGA (g) | - - -```` - -````` - ## Sub-schemas ### Entity From fc7ea09118d06f2aa9e9455d40173144e4b8d6c1 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 12:25:06 +1200 Subject: [PATCH 28/37] docs/reference/schema.md: Format Markdown --- docs/reference/schema.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/reference/schema.md b/docs/reference/schema.md index 0ff2049a..1814d6e9 100644 --- a/docs/reference/schema.md +++ b/docs/reference/schema.md @@ -528,8 +528,9 @@ addtargets: ``` ``````{dropdown} Example: Global flood depth-damage functions -:open: - +--- +open: +--- The following example shows RDLS metadata for the [Global flood depth-damage functions](https://publications.jrc.ec.europa.eu/repository/handle/JRC105688) in tabular format and JSON format. `````{tab-set} From 0636f3fd085b00a42d5665ae6bd6f5b63e90b3c9 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 12:25:21 +1200 Subject: [PATCH 29/37] requirements: Add Flatten Tool --- requirements.in | 1 + requirements.txt | 69 +++++++++++++++++++++++++++++++++++++++++++++--- 2 files changed, 66 insertions(+), 4 deletions(-) diff --git a/requirements.in b/requirements.in index 805bd237..84fc2ac5 100644 --- a/requirements.in +++ b/requirements.in @@ -17,3 +17,4 @@ jscc>=0.2.3 ocdskit jsonschema pygit2 +./flatten-tool diff --git a/requirements.txt b/requirements.txt index 65cc158c..e11f1e25 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,7 +2,7 @@ # This file is autogenerated by pip-compile with Python 3.11 # by the following command: # -# pip-compile +# pip-compile requirements.in # alabaster==0.7.12 # via sphinx @@ -15,12 +15,18 @@ babel==2.11.0 # via # sphinx # sphinx-intl +backports-datetime-fromisoformat==2.0.0 + # via flattentool +btrees==5.0 + # via zodb cattrs==22.2.0 # via requests-cache certifi==2022.12.7 # via requests cffi==1.15.1 - # via pygit2 + # via + # persistent + # pygit2 charset-normalizer==2.1.0 # via requests click==8.1.3 @@ -29,6 +35,10 @@ click==8.1.3 # sphinx-intl colorama==0.4.6 # via sphinx-autobuild +contextlib2==21.6.0 + # via schema +defusedxml==0.7.1 + # via odfpy docutils==0.17.1 # via # myst-parser @@ -37,10 +47,18 @@ docutils==0.17.1 # sphinx-togglebutton # sphinxcontrib-opendataservices # sphinxcontrib-opendataservices-jsonschema +et-xmlfile==1.1.0 + # via openpyxl +flattentool @ file:///mnt/9E863086863060C7/GDrive/Work/Repositories/risk_data_library/rdl-standard/flatten-tool + # via -r requirements.in +geojson==3.0.1 + # via flattentool idna==3.4 # via requests ijson==3.2.0.post0 - # via ocdskit + # via + # flattentool + # ocdskit imagesize==1.4.1 # via sphinx iniconfig==2.0.0 @@ -61,6 +79,7 @@ jsonpointer==2.3 # sphinxcontrib-opendataservices-jsonschema jsonref==1.0.1 # via + # flattentool # jscc # ocdsextensionregistry # ocdskit @@ -70,6 +89,8 @@ jsonschema==4.17.3 # via -r requirements.in livereload==2.6.3 # via sphinx-autobuild +lxml==4.9.3 + # via flattentool markdown-it-py==2.1.0 # via # mdformat @@ -100,16 +121,26 @@ myst-parser==0.18.1 # -r requirements.in # sphinxcontrib-opendataservices # sphinxcontrib-opendataservices-jsonschema +numpy==1.25.2 + # via shapely ocdsextensionregistry==0.2.0 # via ocdskit ocdskit==1.1.5 # via -r requirements.in ocdsmerge==0.6.6 # via ocdskit +odfpy==1.4.1 + # via flattentool +openpyxl==3.1.2 + # via flattentool packaging==22.0 # via # pytest # sphinx +persistent==5.0 + # via + # btrees + # zodb platformdirs==3.5.1 # via requests-cache pluggy==1.0.0 @@ -125,7 +156,9 @@ pyrsistent==0.19.3 pytest==7.3.1 # via -r requirements.in pytz==2022.6 - # via babel + # via + # babel + # flattentool pyyaml==6.0 # via myst-parser requests==2.28.1 @@ -144,10 +177,15 @@ ruamel-yaml==0.17.32 # mdformat-myst ruamel-yaml-clib==0.2.7 # via ruamel-yaml +schema==0.7.5 + # via flattentool +shapely==2.0.1 + # via flattentool six==1.16.0 # via # livereload # url-normalize + # zodb snowballstemmer==2.2.0 # via sphinx sphinx==5.3.0 @@ -192,6 +230,8 @@ sphinxcontrib-serializinghtml==1.1.5 # via sphinx tornado==6.2 # via livereload +transaction==3.1.0 + # via zodb typing-extensions==4.4.0 # via myst-parser url-normalize==1.4.3 @@ -202,6 +242,27 @@ urllib3==1.26.11 # requests-cache wheel==0.40.0 # via sphinx-togglebutton +xmltodict==0.13.0 + # via flattentool +zc-lockfile==3.0.post1 + # via zodb +zc-zlibstorage==1.2.0 + # via flattentool +zconfig==4.0 + # via zodb +zodb==5.8.1 + # via + # flattentool + # zc-zlibstorage +zodbpickle==3.0.1 + # via zodb +zope-interface==6.0 + # via + # btrees + # persistent + # transaction + # zc-zlibstorage + # zodb # The following packages are considered to be unsafe in a requirements file: # setuptools From d98fe33c678b16b23eeb417e170b1837c38654ee Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 12:30:31 +1200 Subject: [PATCH 30/37] Remove Flatten Tool from requirements, update developer docs --- developer_docs.md | 8 +++++- requirements.in | 1 - requirements.txt | 67 +++-------------------------------------------- 3 files changed, 10 insertions(+), 66 deletions(-) diff --git a/developer_docs.md b/developer_docs.md index 18ec5c43..6a686bd6 100644 --- a/developer_docs.md +++ b/developer_docs.md @@ -48,7 +48,7 @@ cd rdl-standard Subsequent instructions assume that your current working directory is `rdl-standard`, unless otherwise stated. -#### Install submodules +#### Update submodules ```bash git submodule init @@ -107,6 +107,12 @@ pip install --upgrade pip setuptools pip install -r requirements.txt ``` +Install Flatten Tool: + +```bash +pip install ./flatten-tool +``` + ### Resolve check failures #### mdformat diff --git a/requirements.in b/requirements.in index 84fc2ac5..805bd237 100644 --- a/requirements.in +++ b/requirements.in @@ -17,4 +17,3 @@ jscc>=0.2.3 ocdskit jsonschema pygit2 -./flatten-tool diff --git a/requirements.txt b/requirements.txt index e11f1e25..4b8481a6 100644 --- a/requirements.txt +++ b/requirements.txt @@ -15,18 +15,12 @@ babel==2.11.0 # via # sphinx # sphinx-intl -backports-datetime-fromisoformat==2.0.0 - # via flattentool -btrees==5.0 - # via zodb cattrs==22.2.0 # via requests-cache certifi==2022.12.7 # via requests cffi==1.15.1 - # via - # persistent - # pygit2 + # via pygit2 charset-normalizer==2.1.0 # via requests click==8.1.3 @@ -35,10 +29,6 @@ click==8.1.3 # sphinx-intl colorama==0.4.6 # via sphinx-autobuild -contextlib2==21.6.0 - # via schema -defusedxml==0.7.1 - # via odfpy docutils==0.17.1 # via # myst-parser @@ -47,18 +37,10 @@ docutils==0.17.1 # sphinx-togglebutton # sphinxcontrib-opendataservices # sphinxcontrib-opendataservices-jsonschema -et-xmlfile==1.1.0 - # via openpyxl -flattentool @ file:///mnt/9E863086863060C7/GDrive/Work/Repositories/risk_data_library/rdl-standard/flatten-tool - # via -r requirements.in -geojson==3.0.1 - # via flattentool idna==3.4 # via requests ijson==3.2.0.post0 - # via - # flattentool - # ocdskit + # via ocdskit imagesize==1.4.1 # via sphinx iniconfig==2.0.0 @@ -79,7 +61,6 @@ jsonpointer==2.3 # sphinxcontrib-opendataservices-jsonschema jsonref==1.0.1 # via - # flattentool # jscc # ocdsextensionregistry # ocdskit @@ -89,8 +70,6 @@ jsonschema==4.17.3 # via -r requirements.in livereload==2.6.3 # via sphinx-autobuild -lxml==4.9.3 - # via flattentool markdown-it-py==2.1.0 # via # mdformat @@ -121,26 +100,16 @@ myst-parser==0.18.1 # -r requirements.in # sphinxcontrib-opendataservices # sphinxcontrib-opendataservices-jsonschema -numpy==1.25.2 - # via shapely ocdsextensionregistry==0.2.0 # via ocdskit ocdskit==1.1.5 # via -r requirements.in ocdsmerge==0.6.6 # via ocdskit -odfpy==1.4.1 - # via flattentool -openpyxl==3.1.2 - # via flattentool packaging==22.0 # via # pytest # sphinx -persistent==5.0 - # via - # btrees - # zodb platformdirs==3.5.1 # via requests-cache pluggy==1.0.0 @@ -156,9 +125,7 @@ pyrsistent==0.19.3 pytest==7.3.1 # via -r requirements.in pytz==2022.6 - # via - # babel - # flattentool + # via babel pyyaml==6.0 # via myst-parser requests==2.28.1 @@ -177,15 +144,10 @@ ruamel-yaml==0.17.32 # mdformat-myst ruamel-yaml-clib==0.2.7 # via ruamel-yaml -schema==0.7.5 - # via flattentool -shapely==2.0.1 - # via flattentool six==1.16.0 # via # livereload # url-normalize - # zodb snowballstemmer==2.2.0 # via sphinx sphinx==5.3.0 @@ -230,8 +192,6 @@ sphinxcontrib-serializinghtml==1.1.5 # via sphinx tornado==6.2 # via livereload -transaction==3.1.0 - # via zodb typing-extensions==4.4.0 # via myst-parser url-normalize==1.4.3 @@ -242,27 +202,6 @@ urllib3==1.26.11 # requests-cache wheel==0.40.0 # via sphinx-togglebutton -xmltodict==0.13.0 - # via flattentool -zc-lockfile==3.0.post1 - # via zodb -zc-zlibstorage==1.2.0 - # via flattentool -zconfig==4.0 - # via zodb -zodb==5.8.1 - # via - # flattentool - # zc-zlibstorage -zodbpickle==3.0.1 - # via zodb -zope-interface==6.0 - # via - # btrees - # persistent - # transaction - # zc-zlibstorage - # zodb # The following packages are considered to be unsafe in a requirements file: # setuptools From d99d1790a1d502998187322c06c0faa2da183a19 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 12:33:07 +1200 Subject: [PATCH 31/37] examples: Indent JSON files --- .../central_asia_residential_current/example.json | 10 +++++----- examples/full/SFRARR_fluvialhazardmaps/example.json | 8 ++++---- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/examples/exposure/central_asia_residential_current/example.json b/examples/exposure/central_asia_residential_current/example.json index 127ee8cf..a40c18e5 100644 --- a/examples/exposure/central_asia_residential_current/example.json +++ b/examples/exposure/central_asia_residential_current/example.json @@ -89,7 +89,7 @@ { "id": "0064251_res1", "title": "Central Asia exposure dataset - Residential buildings - KAZ", - "description": "Central Asia exposure layers \u2013 Residential buildings - KAZ\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "description": "Central Asia exposure layers – Residential buildings - KAZ\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", "format": "csv", "spatial_resolution": 500, "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091988/KAZ_residential_exposure.zip?versionId=2023-07-11T15:15:39.6450392Z", @@ -101,7 +101,7 @@ { "id": "0064251_res2", "title": "Central Asia exposure dataset - Residential buildings - KGZ", - "description": "Central Asia exposure layers \u2013 Residential buildings - KGZ\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "description": "Central Asia exposure layers – Residential buildings - KGZ\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", "format": "csv", "spatial_resolution": 500, "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091661/KGZ_residential_exposure.zip?versionId=2023-07-11T15:15:41.4460187Z", @@ -113,7 +113,7 @@ { "id": "0064251_res3", "title": "Central Asia exposure dataset - Residential buildings - TJK", - "description": "Central Asia exposure layers \u2013 Residential buildings - TJK\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "description": "Central Asia exposure layers – Residential buildings - TJK\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", "format": "csv", "spatial_resolution": 500, "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091660/TJK_residential_exposure.zip?versionId=2023-07-11T15:15:37.7301236Z", @@ -125,7 +125,7 @@ { "id": "0064251_res4", "title": "Central Asia exposure dataset - Residential buildings - TKM", - "description": "Central Asia exposure layers \u2013 Residential buildings - TKM\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "description": "Central Asia exposure layers – Residential buildings - TKM\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", "format": "csv", "spatial_resolution": 500, "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091659/TKM_residential_exposure.zip?versionId=2023-07-11T15:15:34.9986705Z", @@ -137,7 +137,7 @@ { "id": "0064251_res5", "title": "Central Asia exposure dataset - Residential buildings - UZB", - "description": "Central Asia exposure layers \u2013 Residential buildings - UZB\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", + "description": "Central Asia exposure layers – Residential buildings - UZB\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", "format": "csv", "spatial_resolution": 500, "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091989/UZB_residential_exposure.zip?versionId=2023-07-11T15:15:43.2479984Z", diff --git a/examples/full/SFRARR_fluvialhazardmaps/example.json b/examples/full/SFRARR_fluvialhazardmaps/example.json index 896b4e06..bae0e81c 100644 --- a/examples/full/SFRARR_fluvialhazardmaps/example.json +++ b/examples/full/SFRARR_fluvialhazardmaps/example.json @@ -68,8 +68,8 @@ "resources": [ { "id": "0064232_res1", - "title": "Central Asia fluvial flood hazard maps - defended \u2013 KAZ 5-50y RP", - "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset. Due to file size, this is a partial set of data covering 1-in-5-50y return period. See dataset \u201cCentral Asia fluvial flood hazard maps - defended \u2013 KAZ 100-1000y RP\u201d for the remaining data.", + "title": "Central Asia fluvial flood hazard maps - defended – KAZ 5-50y RP", + "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset. Due to file size, this is a partial set of data covering 1-in-5-50y return period. See dataset “Central Asia fluvial flood hazard maps - defended – KAZ 100-1000y RP” for the remaining data.", "media_type": "image/tiff", "format": "geotiff", "spatial_resolution": 90, @@ -78,8 +78,8 @@ }, { "id": "0064232_res2", - "title": "Central Asia fluvial flood hazard maps - defended \u2013 KAZ 100-1000y RP", - "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset. Due to file size, this is a partial set of data covering 1-in-100-1000y return period. See dataset \u201cCentral Asia fluvial flood hazard maps - defended \u2013 KaZ 5-50y RP\u201d for the remaining data.", + "title": "Central Asia fluvial flood hazard maps - defended – KAZ 100-1000y RP", + "description": "Fluvial flood hazard maps for Central Asia, derived from a regional model. Filenaming: FLU_DEF_XXy_ZZZ.tif (XX= return period, ZZZ= country initials). Cell value gives maximum flood depth (m) expected for the return period of that raster dataset. Due to file size, this is a partial set of data covering 1-in-100-1000y return period. See dataset “Central Asia fluvial flood hazard maps - defended – KaZ 5-50y RP” for the remaining data.", "media_type": "image/tiff", "format": "geotiff", "spatial_resolution": 90, From 302754d306ac899f9a3ca8bdf8fb4a5a8044b3e8 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 14:20:54 +1200 Subject: [PATCH 32/37] examples: Preserve titles of intermediary objects --- .../Attributions.csv | 6 +- .../Resources.csv | 6 +- .../datasets.csv | 30 ++++++---- .../Attributions.csv | 6 +- .../Resources.csv | 6 +- .../datasets.csv | 30 ++++++---- .../SFRARR_fluvialhazardmaps/Attributions.csv | 9 ++- .../Hazard metadata_Event sets.csv | 6 +- .../Hazard metadata_Event sets_Events.csv | 16 ++++-- .../SFRARR_fluvialhazardmaps/datasets.csv | 21 ++++--- .../aqueduct/Hazard metadata_Event sets.csv | 3 +- examples/hazard/aqueduct/datasets.csv | 18 ++++-- .../fathom/Hazard metadata_Event sets.csv | 3 +- examples/hazard/fathom/datasets.csv | 21 ++++--- .../vulnerability/flood_jrc/Attributions.csv | 6 +- examples/vulnerability/flood_jrc/datasets.csv | 55 +++++++++++++------ manage.py | 13 ++++- 17 files changed, 174 insertions(+), 81 deletions(-) diff --git a/examples/exposure/central_asia_residential_current/Attributions.csv b/examples/exposure/central_asia_residential_current/Attributions.csv index b3bccfe0..b7a5ed02 100644 --- a/examples/exposure/central_asia_residential_current/Attributions.csv +++ b/examples/exposure/central_asia_residential_current/Attributions.csv @@ -1,5 +1,7 @@ Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings,https://datacatalog.worldbank.org/search/dataset/0064251/Central-Asia-exposure-dataset---Residential-buildings Attribution identifier,0064251_attr1,0064251_attr2 -Name,Chi-Yun Huang,"OGS, Italy" -Email address,chuang@worldbank.org, +"Entity: +Name",Chi-Yun Huang,"OGS, Italy" +"Entity: +Email address",chuang@worldbank.org, Role,custodian,collaborator diff --git a/examples/exposure/central_asia_residential_current/Resources.csv b/examples/exposure/central_asia_residential_current/Resources.csv index 639afe7d..5d8fb8f7 100644 --- a/examples/exposure/central_asia_residential_current/Resources.csv +++ b/examples/exposure/central_asia_residential_current/Resources.csv @@ -10,5 +10,7 @@ Files: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp" Format,csv,csv,csv,csv,csv Spatial resolution,500,500,500,500,500 resources/0/url,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091988/KAZ_residential_exposure.zip?versionId=2023-07-11T15:15:39.6450392Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091661/KGZ_residential_exposure.zip?versionId=2023-07-11T15:15:41.4460187Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091660/TJK_residential_exposure.zip?versionId=2023-07-11T15:15:37.7301236Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091659/TKM_residential_exposure.zip?versionId=2023-07-11T15:15:34.9986705Z,https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091989/UZB_residential_exposure.zip?versionId=2023-07-11T15:15:43.2479984Z -Start,2020,2020,2020,2020,2020 -End date,2020,2020,2020,2020,2020 +"Temporal coverage: +Start",2020,2020,2020,2020,2020 +"Temporal coverage: +End date",2020,2020,2020,2020,2020 diff --git a/examples/exposure/central_asia_residential_current/datasets.csv b/examples/exposure/central_asia_residential_current/datasets.csv index 63756169..f022cc59 100644 --- a/examples/exposure/central_asia_residential_current/datasets.csv +++ b/examples/exposure/central_asia_residential_current/datasets.csv @@ -2,17 +2,27 @@ Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064251/Cent Title,Central-Asia-exposure-dataset---Current-residential-exposure Description,Regional layer of residential buildings in Central Asia Risk data type,exposure -Name,World Bank -Email address,sfraser@worldbank.org -URL,http://www.worldbank.org +"Publisher: +Name",World Bank +"Publisher: +Email address",sfraser@worldbank.org +"Publisher: +URL",http://www.worldbank.org Dataset version,12 Dataset purpose,"Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)" Project title,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia -Countries,KAZ;KGZ;TJK;TKM;UZB +"Spatial coverage: +Countries",KAZ;KGZ;TJK;TKM;UZB License,CC-BY-4.0 -Name,Stuart Fraser -Email address,sfraser@worldbank.org -Name,Risk Engineering and Development -URL,http://www.redrisk.com -Exposure category,buildings -Exposure taxonomy scheme,GED4ALL +"Contact point: +Name",Stuart Fraser +"Contact point: +Email address",sfraser@worldbank.org +"Creator: +Name",Risk Engineering and Development +"Creator: +URL",http://www.redrisk.com +"Exposure metadata: +Exposure category",buildings +"Exposure metadata: +Exposure taxonomy scheme",GED4ALL diff --git a/examples/exposure/central_asia_residential_projected/Attributions.csv b/examples/exposure/central_asia_residential_projected/Attributions.csv index 6d44da02..50066cf1 100644 --- a/examples/exposure/central_asia_residential_projected/Attributions.csv +++ b/examples/exposure/central_asia_residential_projected/Attributions.csv @@ -1,5 +1,7 @@ Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure,https://datacatalog.worldbank.org/search/dataset/0064254/Central-Asia-exposure-dataset---Projected-residential-exposure Attribution identifier,0064254_attr1,0064254_attr2 -Name,Chi-Yun Huang,"OGS, Italy" -Email address,chuang@worldbank.org, +"Entity: +Name",Chi-Yun Huang,"OGS, Italy" +"Entity: +Email address",chuang@worldbank.org, Role,custodian,collaborator diff --git a/examples/exposure/central_asia_residential_projected/Resources.csv b/examples/exposure/central_asia_residential_projected/Resources.csv index 3e4987cf..b155cb2c 100644 --- a/examples/exposure/central_asia_residential_projected/Resources.csv +++ b/examples/exposure/central_asia_residential_projected/Resources.csv @@ -11,5 +11,7 @@ Files: RESIDENTIAL_[OBLAST]._2080_[SSP].csv" Format,csv,csv,csv Spatial resolution,500,500,500 resources/0/url,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091991/P2080_SSP1.zip?versionId=2023-07-11T15:12:01.4656749Z,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091992/P2080_SSP4.zip?versionId=2023-07-11T15:12:06.1470219Z,https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091993/P2080_SSP5.zip?versionId=2023-07-11T15:12:03.5145140Z -Start,2080,2080,2080 -End date,2080,2080,2080 +"Temporal coverage: +Start",2080,2080,2080 +"Temporal coverage: +End date",2080,2080,2080 diff --git a/examples/exposure/central_asia_residential_projected/datasets.csv b/examples/exposure/central_asia_residential_projected/datasets.csv index 6662327a..6a732368 100644 --- a/examples/exposure/central_asia_residential_projected/datasets.csv +++ b/examples/exposure/central_asia_residential_projected/datasets.csv @@ -2,17 +2,27 @@ Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064254/Cent Title,Central-Asia-exposure-dataset---Projected-residential-exposure Description,"Regional layer of residential buildings in Central Asia, projected to 2080" Risk data type,exposure -Name,World Bank -Email address,sfraser@worldbank.org -URL,http://www.worldbank.org +"Publisher: +Name",World Bank +"Publisher: +Email address",sfraser@worldbank.org +"Publisher: +URL",http://www.worldbank.org Dataset version,12 Dataset purpose,"Developed as part of the regional risk assessment, under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia)" Project title,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia -Countries,KAZ;KGZ;TJK;TKM;UZB +"Spatial coverage: +Countries",KAZ;KGZ;TJK;TKM;UZB License,CC-BY-4.0 -Name,Stuart Fraser -Email address,sfraser@worldbank.org -Name,Risk Engineering and Development -URL,http://www.redrisk.com -Exposure category,buildings -Exposure taxonomy scheme,GED4ALL +"Contact point: +Name",Stuart Fraser +"Contact point: +Email address",sfraser@worldbank.org +"Creator: +Name",Risk Engineering and Development +"Creator: +URL",http://www.redrisk.com +"Exposure metadata: +Exposure category",buildings +"Exposure metadata: +Exposure taxonomy scheme",GED4ALL diff --git a/examples/full/SFRARR_fluvialhazardmaps/Attributions.csv b/examples/full/SFRARR_fluvialhazardmaps/Attributions.csv index 4cf358e1..dc3124b4 100644 --- a/examples/full/SFRARR_fluvialhazardmaps/Attributions.csv +++ b/examples/full/SFRARR_fluvialhazardmaps/Attributions.csv @@ -1,6 +1,9 @@ Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 Attribution identifier,0064232_1attr -Name,World Bank -Email address,chuang@worldbank.org -URL,http://www.worldbank.org +"Entity: +Name",World Bank +"Entity: +Email address",chuang@worldbank.org +"Entity: +URL",http://www.worldbank.org Role,custodian diff --git a/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets.csv b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets.csv index f0e3536e..6609d787 100644 --- a/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets.csv +++ b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets.csv @@ -4,5 +4,7 @@ Analysis type,probabilistic Seasonality distribution,uniform Calculation Method,simulated Event count,10000 -Countries,KAZ;KGZ;TJK;TKM;UZB -Spatial scale,regional +"Spatial coverage: +Countries",KAZ;KGZ;TJK;TKM;UZB +"Spatial coverage: +Spatial scale",regional diff --git a/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events.csv b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events.csv index 2d9604ee..02116cd5 100644 --- a/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events.csv +++ b/examples/full/SFRARR_fluvialhazardmaps/Hazard metadata_Event sets_Events.csv @@ -3,8 +3,14 @@ Event set identifier,0064232_EventSet1,0064232_EventSet1,0064232_EventSet1,00642 Event identifier,0064232_EventSet1_KAZ_5,0064232_EventSet1_KAZ_10,0064232_EventSet1_KAZ_20,0064232_EventSet1_KAZ_50,0064232_EventSet1_KAZ_100,0064232_EventSet1_KAZ_200,0064232_EventSet1_KAZ_500,0064232_EventSet1_KAZ_1000,0064232_EventSet1_KGZ_5,0064232_EventSet1_KGZ_10,0064232_EventSet1_KGZ_20,0064232_EventSet1_KGZ_50,0064232_EventSet1_KGZ_100,0064232_EventSet1_KGZ_200,0064232_EventSet1_KGZ_500,0064232_EventSet1_KGZ_1000,0064232_EventSet1_TJK_5,0064232_EventSet1_TJK_10,0064232_EventSet1_TJK_20,0064232_EventSet1_TJK_50,0064232_EventSet1_TJK_100,0064232_EventSet1_TJK_200,0064232_EventSet1_TJK_500,0064232_EventSet1_TJK_1000,0064232_EventSet1_TKM_5,0064232_EventSet1_TKM_10,0064232_EventSet1_TKM_20,0064232_EventSet1_TKM_50,0064232_EventSet1_TKM_100,0064232_EventSet1_TKM_200,0064232_EventSet1_TKM_500,0064232_EventSet1_TKM_1000,0064232_EventSet1_UZB_5,0064232_EventSet1_UZB_10,0064232_EventSet1_UZB_20,0064232_EventSet1_UZB_50,0064232_EventSet1_UZB_100,0064232_EventSet1_UZB_200,0064232_EventSet1_UZB_500,0064232_EventSet1_UZB_1000 Disaster identifier,n/a,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, Model calculation method,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated,simulated -Hazard identifier,0064232_EventSet1_KAZ_5,0064232_EventSet1_KAZ_10,0064232_EventSet1_KAZ_20,0064232_EventSet1_KAZ_50,0064232_EventSet1_KAZ_100,0064232_EventSet1_KAZ_200,0064232_EventSet1_KAZ_500,0064232_EventSet1_KAZ_1000,0064232_EventSet1_KGZ_5,0064232_EventSet1_KGZ_10,0064232_EventSet1_KGZ_20,0064232_EventSet1_KGZ_50,0064232_EventSet1_KGZ_100,0064232_EventSet1_KGZ_200,0064232_EventSet1_KGZ_500,0064232_EventSet1_KGZ_1000,0064232_EventSet1_TJK_5,0064232_EventSet1_TJK_10,0064232_EventSet1_TJK_20,0064232_EventSet1_TJK_50,0064232_EventSet1_TJK_100,0064232_EventSet1_TJK_200,0064232_EventSet1_TJK_500,0064232_EventSet1_TJK_1000,0064232_EventSet1_TKM_5,0064232_EventSet1_TKM_10,0064232_EventSet1_TKM_20,0064232_EventSet1_TKM_50,0064232_EventSet1_TKM_100,0064232_EventSet1_TKM_200,0064232_EventSet1_TKM_500,0064232_EventSet1_TKM_1000,0064232_EventSet1_UZB_5,0064232_EventSet1_UZB_10,0064232_EventSet1_UZB_20,0064232_EventSet1_UZB_50,0064232_EventSet1_UZB_100,0064232_EventSet1_UZB_200,0064232_EventSet1_UZB_500,0064232_EventSet1_UZB_1000 -Hazard type,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood -Hazard processes,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood -Intensity measure,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m -Return period,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000 +"Hazard: +Hazard identifier",0064232_EventSet1_KAZ_5,0064232_EventSet1_KAZ_10,0064232_EventSet1_KAZ_20,0064232_EventSet1_KAZ_50,0064232_EventSet1_KAZ_100,0064232_EventSet1_KAZ_200,0064232_EventSet1_KAZ_500,0064232_EventSet1_KAZ_1000,0064232_EventSet1_KGZ_5,0064232_EventSet1_KGZ_10,0064232_EventSet1_KGZ_20,0064232_EventSet1_KGZ_50,0064232_EventSet1_KGZ_100,0064232_EventSet1_KGZ_200,0064232_EventSet1_KGZ_500,0064232_EventSet1_KGZ_1000,0064232_EventSet1_TJK_5,0064232_EventSet1_TJK_10,0064232_EventSet1_TJK_20,0064232_EventSet1_TJK_50,0064232_EventSet1_TJK_100,0064232_EventSet1_TJK_200,0064232_EventSet1_TJK_500,0064232_EventSet1_TJK_1000,0064232_EventSet1_TKM_5,0064232_EventSet1_TKM_10,0064232_EventSet1_TKM_20,0064232_EventSet1_TKM_50,0064232_EventSet1_TKM_100,0064232_EventSet1_TKM_200,0064232_EventSet1_TKM_500,0064232_EventSet1_TKM_1000,0064232_EventSet1_UZB_5,0064232_EventSet1_UZB_10,0064232_EventSet1_UZB_20,0064232_EventSet1_UZB_50,0064232_EventSet1_UZB_100,0064232_EventSet1_UZB_200,0064232_EventSet1_UZB_500,0064232_EventSet1_UZB_1000 +"Hazard: +Hazard type",flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood,flood +"Hazard: +Hazard processes",fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood,fluvial_flood +"Hazard: +Intensity measure",fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m,fl_wd:m +"Occurrence: +Probabilistic frequency: +Return period",5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000,5,10,20,50,100,200,500,1000 diff --git a/examples/full/SFRARR_fluvialhazardmaps/datasets.csv b/examples/full/SFRARR_fluvialhazardmaps/datasets.csv index 7875bfd5..1553d3dc 100644 --- a/examples/full/SFRARR_fluvialhazardmaps/datasets.csv +++ b/examples/full/SFRARR_fluvialhazardmaps/datasets.csv @@ -2,14 +2,21 @@ Dataset identifier,https://datacatalog.worldbank.org/search/dataset/0064232 Title,Central Asia flood hazard - fluvial flood hazard maps DEFENDED Description,Simulated fluvial flood hazard maps with the simulated effects of flood protection. Risk data type,hazard -Name,World Bank Europe and Central Asia DRM team -Email address,sfraser@worldbank.org +"Publisher: +Name",World Bank Europe and Central Asia DRM team +"Publisher: +Email address",sfraser@worldbank.org Dataset version,2 Dataset purpose,Developed as part of a regional probabilistic flood and earthquake risk assessment under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia program. (https://www.gfdrr.org/en/program/SFRARR-Central-Asia) Project title,Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia -Countries,KAZ;KGZ;TJK;TKM;UZB -Spatial scale,regional +"Spatial coverage: +Countries",KAZ;KGZ;TJK;TKM;UZB +"Spatial coverage: +Spatial scale",regional License,CC-BY-4.0 -Name,Stuart Fraser -Email address,sfraser@worldbank.org -Name,Risk Engineering and Development +"Contact point: +Name",Stuart Fraser +"Contact point: +Email address",sfraser@worldbank.org +"Creator: +Name",Risk Engineering and Development diff --git a/examples/hazard/aqueduct/Hazard metadata_Event sets.csv b/examples/hazard/aqueduct/Hazard metadata_Event sets.csv index eb30c7cd..d4f65773 100644 --- a/examples/hazard/aqueduct/Hazard metadata_Event sets.csv +++ b/examples/hazard/aqueduct/Hazard metadata_Event sets.csv @@ -4,4 +4,5 @@ Analysis type,probabilistic Calculation Method,simulated Event count,10 Occurrence range,1/2 to 1/1000 years -Spatial scale,global +"Spatial coverage: +Spatial scale",global diff --git a/examples/hazard/aqueduct/datasets.csv b/examples/hazard/aqueduct/datasets.csv index 27728fe7..b483bdef 100644 --- a/examples/hazard/aqueduct/datasets.csv +++ b/examples/hazard/aqueduct/datasets.csv @@ -2,13 +2,19 @@ Dataset identifier,https://www.wri.org/data/aqueduct-floods-hazard-maps Title,Aqueduct Floods Hazard Maps Description,"Aqueduct Floods is an online platform that measures riverine and coastal flood risks under both current baseline conditions and future projections in 2030, 2050, an 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods enables its users to conduct comprehensive cost-benefit analysis to evaluate the value of dike flood protection strategies." Risk data type,hazard -Name,Water Resource Institute -URL,https://www.wri.org +"Publisher: +Name",Water Resource Institute +"Publisher: +URL",https://www.wri.org Dataset version,2020 Project title,Aqueduct Additional details,"The Aqueduct flood-hazard model is a global gridded dataset of flood hazard produced at the global scale. It provides flood water extent and depth for a range of pluvial and fluvial hazard scenarios, expressed as “return period”, which indicates the probability of occurrence (i.e. once in 2, 5, 10, 20, 50, 100, 250, 500 and 1000 years). The Data are at 1 km resolution and have a global coverage." -Spatial scale,global -Name,Mattia Amadio -Email address,mamadio@worldbank.org -Name,Water Resource Institute +"Spatial coverage: +Spatial scale",global +"Contact point: +Name",Mattia Amadio +"Contact point: +Email address",mamadio@worldbank.org +"Creator: +Name",Water Resource Institute License,CC-BY-4.0 diff --git a/examples/hazard/fathom/Hazard metadata_Event sets.csv b/examples/hazard/fathom/Hazard metadata_Event sets.csv index 1e6a6925..b885f4e0 100644 --- a/examples/hazard/fathom/Hazard metadata_Event sets.csv +++ b/examples/hazard/fathom/Hazard metadata_Event sets.csv @@ -4,4 +4,5 @@ Analysis type,probabilistic Calculation Method,simulated Event count,10 Occurrence range,1/10 to 1/1000 years -Spatial scale,global +"Spatial coverage: +Spatial scale",global diff --git a/examples/hazard/fathom/datasets.csv b/examples/hazard/fathom/datasets.csv index f5c2983b..d518544c 100644 --- a/examples/hazard/fathom/datasets.csv +++ b/examples/hazard/fathom/datasets.csv @@ -2,16 +2,23 @@ Dataset identifier,FTH_example Title,FATHOM flood hazard maps Description,Probabilistic modelling of fluvial and pluvial flood hazard Risk data type,hazard -Name,Fathom -URL,https://www.fathom.global/ +"Publisher: +Name",Fathom +"Publisher: +URL",https://www.fathom.global/ Dataset version,2 Additional details,"The FATHOM flood-hazard model (previously known as SSBN), is a global gridded dataset of flood hazard produced at the global scale. It provides flood water extent and depth for a range of pluvial and fluvial hazard scenarios, expressed as “return period”, which indicates the probability of occurrence (i.e. once in 5, 10, 20, 50, 75, 100, 200, 250, 500, 750 and 1000 years). The Data are at 3 arc second (approximately 90m) resolution and have a global coverage between 56°S and 60°N. Each country set includes three subsets: - Fluvial Undefended (FU): no flood defence accounted - Fluvial Defended (FD): flood defence estimated by protection standards proxied by GDP (FloProS) - Pluvial Undefended (PU): pluvial cumulation hazard maps, no flood defence accounted" -Spatial scale,national +"Spatial coverage: +Spatial scale",national License,commercial -Name,Mattia Amadio -Email address,mamadio@worldbank.org -Name,Mattia Amadio -Email address,mamadio@worldbank.org +"Contact point: +Name",Mattia Amadio +"Contact point: +Email address",mamadio@worldbank.org +"Creator: +Name",Mattia Amadio +"Creator: +Email address",mamadio@worldbank.org diff --git a/examples/vulnerability/flood_jrc/Attributions.csv b/examples/vulnerability/flood_jrc/Attributions.csv index 7069e688..40f415ae 100644 --- a/examples/vulnerability/flood_jrc/Attributions.csv +++ b/examples/vulnerability/flood_jrc/Attributions.csv @@ -1,5 +1,7 @@ Dataset identifier,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 Attribution identifier,1,2 -Name,JRC,Jan Huizinga -URL,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688, +"Entity: +Name",JRC,Jan Huizinga +"Entity: +URL",https://publications.jrc.ec.europa.eu/repository/handle/JRC105688, Role,distributor,author diff --git a/examples/vulnerability/flood_jrc/datasets.csv b/examples/vulnerability/flood_jrc/datasets.csv index c885cac0..e64df8a5 100644 --- a/examples/vulnerability/flood_jrc/datasets.csv +++ b/examples/vulnerability/flood_jrc/datasets.csv @@ -2,23 +2,46 @@ Dataset identifier,https://publications.jrc.ec.europa.eu/repository/handle/JRC10 Title,Global flood depth-damage functions Description,This dataset contains damage curves depicting fractional damage function of water depth as well as maximum damage values for a variety of assets and land use classes. Risk data type,vulnerability -Name,EU Joint Research Center (JRC) -URL,https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 +"Publisher: +Name",EU Joint Research Center (JRC) +"Publisher: +URL",https://publications.jrc.ec.europa.eu/repository/handle/JRC105688 Dataset version,2017 Dataset purpose,"Assessing potential damage of flood events is an important component in flood risk management. Determining direct flood damage is commonly done using depth-damage curves, which denote the flood damage that would occur at specific water depths per asset or per land-use class. Many countries have developed flood damage models using depth-damage curves based on analysis of past flood events and on expert judgement. However, the fact that such damage curves are not available for all regions hampers damage assessments in some areas. Moreover, due to different methodologies employed for various damage models in different countries, damage assessments cannot be directly compared with each other, obstructing also supra-national flood damage assessments." Additional details,"Based on an extensive literature survey concave damage curves have been developed for each continent, while differentiation in flood damage between countries is established by determining maximum damage values at the country scale. These maximum damage values are based on construction cost surveys from multinational construction companies, which provide a coherent set of detailed building cost data across dozens of countries. A consistent set of maximum flood damage values for all countries was computed using statistical regressions with socio-economic World Development Indicators. Further, based on insights from the literature survey, guidance is also given on how the damage curves and maximum damage values can be adjusted for specific local circumstances, such as urban vs. rural locations or use of specific building material. This dataset can be used for consistent supra-national scale flood damage assessments, and guide assessment in countries where no damage model is currently available." -Spatial scale,global +"Spatial coverage: +Spatial scale",global License,CC-BY-4.0 -Name,Mattia Amadio -Email address,mamadio@worldbank.org -Name,EU Joint Research Center (JRC) -Primary hazard type,flood -Hazard intensity measurement,fl_wd:m -Exposure category,buildings -Exposure taxonomy scheme,internal -Impact type,direct -Impact metric,damage_ratio -Impact unit,percentage -Impact base data type,inferred -Spatial scale,global -Fragility function approach,hybrid +"Contact point: +Name",Mattia Amadio +"Contact point: +Email address",mamadio@worldbank.org +"Creator: +Name",EU Joint Research Center (JRC) +"Vulnerability metadata: +Primary hazard type",flood +"Vulnerability metadata: +Hazard intensity measurement",fl_wd:m +"Vulnerability metadata: +Exposure category",buildings +"Vulnerability metadata: +Exposure taxonomy scheme",internal +"Vulnerability metadata: +Vulnerability impact: +Impact type",direct +"Vulnerability metadata: +Vulnerability impact: +Impact metric",damage_ratio +"Vulnerability metadata: +Vulnerability impact: +Impact unit",percentage +"Vulnerability metadata: +Vulnerability impact: +Impact base data type",inferred +"Vulnerability metadata: +Spatial coverage: +Spatial scale",global +"Vulnerability metadata: +Impact functions: +Fragility function: +Fragility function approach",hybrid diff --git a/manage.py b/manage.py index d601d34e..93dbcd1d 100755 --- a/manage.py +++ b/manage.py @@ -403,9 +403,16 @@ def pre_commit(): rows = zip(*csv.reader(f)) with open(path, 'w') as f: - writer = csv.writer(f, lineterminator="\n") - # Omit titles of parent objects - writer.writerows([[row[0].split(':')[-1]] + list(row[1:]) for row in rows]) + writer = csv.writer(f, lineterminator="\n") + + # Omit titles of parent objects + parent_titles = path.split("/")[-1].split(".csv")[0].split("_") + for row in rows: + row_title = row[0] + for i in range(0, len(parent_titles)): + row_title = row_title.replace(f"{':'.join(parent_titles[0:len(parent_titles)-i])}:", "") + + writer.writerow([row_title.replace(":", ":\n")] + list(row[1:])) # Update schema.md update_schema_docs(schema) From 3a792bd90dd7ee39644e95b3d9b653343355598b Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 14:23:59 +1200 Subject: [PATCH 33/37] docs/_static/extra.css: Wrap stub columns --- docs/_static/extra.css | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/docs/_static/extra.css b/docs/_static/extra.css index 31856b06..d8ae737a 100644 --- a/docs/_static/extra.css +++ b/docs/_static/extra.css @@ -71,4 +71,7 @@ margin-right: 20px; svg[id^="mermaid-"] { width: 100%; max-width: 80em; -} \ No newline at end of file +} +.wy-table-responsive table th { + white-space: pre; +} From 0273914dda2649c17ebb4cafb4f4ca02e30ecabc Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 14:28:19 +1200 Subject: [PATCH 34/37] examples/exposure: Correct semantic errors in spatial.gazetteerEntries --- .../example.json | 21 ++++++++++++++++--- .../example.json | 21 ++++++++++++++++--- 2 files changed, 36 insertions(+), 6 deletions(-) diff --git a/examples/exposure/central_asia_residential_current/example.json b/examples/exposure/central_asia_residential_current/example.json index a40c18e5..89c9fff0 100644 --- a/examples/exposure/central_asia_residential_current/example.json +++ b/examples/exposure/central_asia_residential_current/example.json @@ -25,9 +25,24 @@ ], "gazetteerEntries": [ { - "id": "0064251_spatial1", - "scheme": "ISO 3166-1 alpha-3", - "description": "Central Asia: KAZ, KGZ, TJK, TKM, UZB" + "id": "KAZ", + "scheme": "ISO 3166-1 alpha-3" + }, + { + "id": "KGZ", + "scheme": "ISO 3166-1 alpha-3" + }, + { + "id": "TJK", + "scheme": "ISO 3166-1 alpha-3" + }, + { + "id": "TKM", + "scheme": "ISO 3166-1 alpha-3" + }, + { + "id": "UZB", + "scheme": "ISO 3166-1 alpha-3" } ] }, diff --git a/examples/exposure/central_asia_residential_projected/example.json b/examples/exposure/central_asia_residential_projected/example.json index 2c68cd91..b4d30312 100644 --- a/examples/exposure/central_asia_residential_projected/example.json +++ b/examples/exposure/central_asia_residential_projected/example.json @@ -25,9 +25,24 @@ ], "gazetteerEntries": [ { - "id": "0064254_spatial1", - "scheme": "ISO 3166-1 alpha-3", - "description": "Central Asia: KAZ, KGZ, TJK, TKM, UZB" + "id": "KAZ", + "scheme": "ISO 3166-1 alpha-3" + }, + { + "id": "KGZ", + "scheme": "ISO 3166-1 alpha-3" + }, + { + "id": "TJK", + "scheme": "ISO 3166-1 alpha-3" + }, + { + "id": "TKM", + "scheme": "ISO 3166-1 alpha-3" + }, + { + "id": "UZB", + "scheme": "ISO 3166-1 alpha-3" } ] }, From 6f2dc245ed550aec2cbef02bcd8ea6e8297e5e30 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 14:34:49 +1200 Subject: [PATCH 35/37] examples: Update for latest schema --- .../central_asia_residential_current/example.json | 8 ++++---- .../central_asia_residential_projected/example.json | 6 +++--- examples/full/SFRARR_fluvialhazardmaps/example.json | 12 ++++++------ examples/hazard/aqueduct/example.json | 2 +- examples/hazard/fathom/example.json | 6 +++--- examples/vulnerability/flood_jrc/example.json | 6 +++--- 6 files changed, 20 insertions(+), 20 deletions(-) diff --git a/examples/exposure/central_asia_residential_current/example.json b/examples/exposure/central_asia_residential_current/example.json index 89c9fff0..d7bba817 100644 --- a/examples/exposure/central_asia_residential_current/example.json +++ b/examples/exposure/central_asia_residential_current/example.json @@ -107,7 +107,7 @@ "description": "Central Asia exposure layers – Residential buildings - KAZ\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", "format": "csv", "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091988/KAZ_residential_exposure.zip?versionId=2023-07-11T15:15:39.6450392Z", + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091988/KAZ_residential_exposure.zip?versionId=2023-07-11T15:15:39.6450392Z", "temporal": { "start": "2020", "end": "2020" @@ -119,7 +119,7 @@ "description": "Central Asia exposure layers – Residential buildings - KGZ\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", "format": "csv", "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091661/KGZ_residential_exposure.zip?versionId=2023-07-11T15:15:41.4460187Z", + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091661/KGZ_residential_exposure.zip?versionId=2023-07-11T15:15:41.4460187Z", "temporal": { "start": "2020", "end": "2020" @@ -143,7 +143,7 @@ "description": "Central Asia exposure layers – Residential buildings - TKM\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", "format": "csv", "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091659/TKM_residential_exposure.zip?versionId=2023-07-11T15:15:34.9986705Z", + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091659/TKM_residential_exposure.zip?versionId=2023-07-11T15:15:34.9986705Z", "temporal": { "start": "2020", "end": "2020" @@ -155,7 +155,7 @@ "description": "Central Asia exposure layers – Residential buildings - UZB\nFiles: RESIDENTIAL_[OBLAST].csv, RESIDENTIAL_[OBLAST].shp", "format": "csv", "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091989/UZB_residential_exposure.zip?versionId=2023-07-11T15:15:43.2479984Z", + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064251/DR0091989/UZB_residential_exposure.zip?versionId=2023-07-11T15:15:43.2479984Z", "temporal": { "start": "2020", "end": "2020" diff --git a/examples/exposure/central_asia_residential_projected/example.json b/examples/exposure/central_asia_residential_projected/example.json index b4d30312..ffaa4139 100644 --- a/examples/exposure/central_asia_residential_projected/example.json +++ b/examples/exposure/central_asia_residential_projected/example.json @@ -107,7 +107,7 @@ "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP1\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", "format": "csv", "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091991/P2080_SSP1.zip?versionId=2023-07-11T15:12:01.4656749Z", + "downloadurl": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091991/P2080_SSP1.zip?versionId=2023-07-11T15:12:01.4656749Z", "temporal": { "start": "2080", "end": "2080" @@ -119,7 +119,7 @@ "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP4\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", "format": "csv", "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091992/P2080_SSP4.zip?versionId=2023-07-11T15:12:06.1470219Z", + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091992/P2080_SSP4.zip?versionId=2023-07-11T15:12:06.1470219Z", "temporal": { "start": "2080", "end": "2080" @@ -131,7 +131,7 @@ "description": "Central Asia projected (2080) residential exposure - for all five Central Asia countries included in the analysis, one file per Oblast (ADM1) for SSP5\nDataset includes projected residneital data for SSP1, SSP4, SSP5 scenarios.\nFiles: RESIDENTIAL_[OBLAST]._2080_[SSP].csv", "format": "csv", "spatial_resolution": 500, - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091993/P2080_SSP5.zip?versionId=2023-07-11T15:12:03.5145140Z", + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064254/DR0091993/P2080_SSP5.zip?versionId=2023-07-11T15:12:03.5145140Z", "temporal": { "start": "2080", "end": "2080" diff --git a/examples/full/SFRARR_fluvialhazardmaps/example.json b/examples/full/SFRARR_fluvialhazardmaps/example.json index bae0e81c..69fae112 100644 --- a/examples/full/SFRARR_fluvialhazardmaps/example.json +++ b/examples/full/SFRARR_fluvialhazardmaps/example.json @@ -74,7 +74,7 @@ "format": "geotiff", "spatial_resolution": 90, "coordinate_system": "EPSG:4326", - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0092000/FLU_DEF_KAZ_5-50yRP.zip?versionId=2023-07-11T15:17:06.8346489Z" + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0092000/FLU_DEF_KAZ_5-50yRP.zip?versionId=2023-07-11T15:17:06.8346489Z" }, { "id": "0064232_res2", @@ -84,7 +84,7 @@ "format": "geotiff", "spatial_resolution": 90, "coordinate_system": "EPSG:4326", - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0092001/FLU_DEF_KAZ_100-1000yRP.zip?versionId=2023-07-11T15:17:09.5061377Z" + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0092001/FLU_DEF_KAZ_100-1000yRP.zip?versionId=2023-07-11T15:17:09.5061377Z" }, { "id": "0064232_res3", @@ -94,7 +94,7 @@ "format": "geotiff", "spatial_resolution": 90, "coordinate_system": "EPSG:4326", - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091440/FLU_DEF_KGZ.zip?versionId=2023-07-11T15:16:59.0750434Z" + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091440/FLU_DEF_KGZ.zip?versionId=2023-07-11T15:16:59.0750434Z" }, { "id": "0064232_res4", @@ -104,7 +104,7 @@ "format": "geotiff", "spatial_resolution": 90, "coordinate_system": "EPSG:4326", - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091439/FLU_DEF_TJK.zip?versionId=2023-07-11T15:17:11.4860175Z" + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091439/FLU_DEF_TJK.zip?versionId=2023-07-11T15:17:11.4860175Z" }, { "id": "0064232_res5", @@ -114,7 +114,7 @@ "format": "geotiff", "spatial_resolution": 90, "coordinate_system": "EPSG:4326", - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091768/FLU_DEF_TKM.zip?versionId=2023-07-11T15:17:01.5896193Z" + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091768/FLU_DEF_TKM.zip?versionId=2023-07-11T15:17:01.5896193Z" }, { "id": "0064232_res6", @@ -124,7 +124,7 @@ "format": "geotiff", "spatial_resolution": 90, "coordinate_system": "EPSG:4326", - "url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091769/FLU_DEF_UZB.zip?versionId=2023-07-11T15:17:04.1441727Z" + "download_url": "https://datacatalogfiles.worldbank.org/ddh-published/0064232/DR0091769/FLU_DEF_UZB.zip?versionId=2023-07-11T15:17:04.1441727Z" } ], "hazard": { diff --git a/examples/hazard/aqueduct/example.json b/examples/hazard/aqueduct/example.json index f73e5129..30467081 100644 --- a/examples/hazard/aqueduct/example.json +++ b/examples/hazard/aqueduct/example.json @@ -33,7 +33,7 @@ "format": "geotiff", "spatial_resolution": 1000, "coordinate_system": "EPSG:4326", - "url": "http://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html" + "access_url": "http://wri-projects.s3.amazonaws.com/AqueductFloodTool/download/v2/index.html" } ], "hazard": { diff --git a/examples/hazard/fathom/example.json b/examples/hazard/fathom/example.json index 9cbda76d..150650fe 100644 --- a/examples/hazard/fathom/example.json +++ b/examples/hazard/fathom/example.json @@ -33,7 +33,7 @@ "format": "geotiff", "spatial_resolution": 90, "coordinate_system": "EPSG:4326", - "url": "http://example.com/FTH-THA-fluvial-undefended" + "download_url": "http://example.com/FTH-THA-fluvial-undefended" }, { "id": "2", @@ -42,7 +42,7 @@ "format": "geotiff", "spatial_resolution": 90, "coordinate_system": "EPSG:4326", - "url": "http://example.com/FTH-THA-fluvial-defended" + "download_url": "http://example.com/FTH-THA-fluvial-defended" }, { "id": "3", @@ -51,7 +51,7 @@ "format": "geotiff", "spatial_resolution": 90, "coordinate_system": "EPSG:4326", - "url": "http://example.com/FTH-THA-pluvial-undefended" + "download_url": "http://example.com/FTH-THA-pluvial-undefended" } ], "hazard": { diff --git a/examples/vulnerability/flood_jrc/example.json b/examples/vulnerability/flood_jrc/example.json index f4acf353..048f4f0b 100644 --- a/examples/vulnerability/flood_jrc/example.json +++ b/examples/vulnerability/flood_jrc/example.json @@ -47,12 +47,12 @@ "cost": [ { "id": "1", - "type": "structure", + "dimension": "structure", "unit": "EUR" }, { "id": "2", - "type": "content", + "dimension": "content", "unit": "EUR" } ] @@ -94,7 +94,7 @@ "title": "Global flood depth-damage functions database", "description": "This spreadsheet contains two components required for flood damage assessment: fractional depth-damage functions and maximum damage values. The damage functions provide the share of asset that is damaged at a given flood depth, while the maximum damage values provide the associated maximum damage value for the given asset and, when combined together, they yield the monetary value of the damage.", "format": "xlsx", - "url": "https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/copy_of_global_flood_depth-damage_functions__30102017.xlsx" + "download_url": "https://publications.jrc.ec.europa.eu/repository/bitstream/JRC105688/copy_of_global_flood_depth-damage_functions__30102017.xlsx" } ], "links": [ From 336277f190de7aad23ba640cc2c9c63f0befbfa8 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 14:46:20 +1200 Subject: [PATCH 36/37] docs/reference/schema.md: Make JSON examples interactive --- docs/_static/json-example-format.js | 36 ++++++ docs/_static/renderjson.css | 11 ++ docs/_static/renderjson.js | 194 ++++++++++++++++++++++++++++ docs/_templates/layout.html | 4 +- docs/reference/schema.md | 10 +- 5 files changed, 248 insertions(+), 7 deletions(-) create mode 100644 docs/_static/json-example-format.js create mode 100644 docs/_static/renderjson.css create mode 100644 docs/_static/renderjson.js diff --git a/docs/_static/json-example-format.js b/docs/_static/json-example-format.js new file mode 100644 index 00000000..25fe3a52 --- /dev/null +++ b/docs/_static/json-example-format.js @@ -0,0 +1,36 @@ + $( document ).ready(function() { + $(".expandjson").each(function(){ + classList = $(this).attr("class").split(/\s+/); + expand = [] + $.each(classList, function(index, item) { + if (item.indexOf('expand') === 0) { + expand.push(item.replace('expand-','')) + } + if (item.indexOf('file') === 0) { + filename = item + } + }); + jsontext = $(this).text().trim() + json = JSON.parse(jsontext) + if(json.length) { + json = json[0] + } + $(this).html(renderjson.set_show_to_level(1).set_max_string_length(100).set_default_open(expand)(json)) + if($(this).siblings(".selection-container").length === 0) { // NEED TO FIX THE CODE HERE. MOVE THINGS INTO THE PARENT CLASS CORRECTLY! + id = Math.floor(5 * (Math.random() % 1)); + $(this).wrap("

    ") + $(this).parent().prepend( + $("") + .change(function(){ + $(this).siblings(".expandjson").hide(); + $(this).siblings("."+ $(this).val()).show(); + })) + $(this).siblings("select").append($("").attr("value",filename).text(filename.replace("file-",""))) + } else { + container = $(this).siblings(".selection-container") + $(this).detach().appendTo(container) + $(this).siblings("select").append($("").attr("value",filename).text(filename.replace("file-",""))) + $(this).hide() + } + }); + }); diff --git a/docs/_static/renderjson.css b/docs/_static/renderjson.css new file mode 100644 index 00000000..0f7b1b61 --- /dev/null +++ b/docs/_static/renderjson.css @@ -0,0 +1,11 @@ +pre.renderjson { overflow: scroll; font-size:smaller; border: 1px solid #e1e4e5; padding: 12px; background-color: #eeffcc;} +.renderjson a { text-decoration: none; } +.renderjson .disclosure { color: grey; font-size: 150%; } +.renderjson .syntax { color: grey; } +.renderjson .string { color: #4070a0; } +.renderjson .number { color: darkcyan; } +.renderjson .boolean { color: blueviolet; } +.renderjson .key { color: #062873; font-weight: bold;} +.renderjson .keyword { color: blue; } +.renderjson .object.syntax { color: grey; } +.renderjson .array.syntax { color: grey; } diff --git a/docs/_static/renderjson.js b/docs/_static/renderjson.js new file mode 100644 index 00000000..03970242 --- /dev/null +++ b/docs/_static/renderjson.js @@ -0,0 +1,194 @@ +// Copyright © 2013-2014 David Caldwell +// +// Permission to use, copy, modify, and/or distribute this software for any +// purpose with or without fee is hereby granted, provided that the above +// copyright notice and this permission notice appear in all copies. +// +// THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES +// WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF +// MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY +// SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES +// WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION +// OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN +// CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. + +// Usage +// ----- +// The module exports one entry point, the `renderjson()` function. It takes in +// the JSON you want to render as a single argument and returns an HTML +// element. +// +// Options +// ------- +// renderjson.set_icons("+", "-") +// This Allows you to override the disclosure icons. +// +// renderjson.set_show_to_level(level) +// Pass the number of levels to expand when rendering. The default is 0, which +// starts with everything collapsed. As a special case, if level is the string +// "all" then it will start with everything expanded. +// +// renderjson.set_max_string_length(length) +// Strings will be truncated and made expandable if they are longer than +// `length`. As a special case, if `length` is the string "none" then +// there will be no truncation. The default is "none". +// +// renderjson.set_sort_objects(sort_bool) +// Sort objects by key (default: false) +// +// Theming +// ------- +// The HTML output uses a number of classes so that you can theme it the way +// you'd like: +// .disclosure ("⊕", "⊖") +// .syntax (",", ":", "{", "}", "[", "]") +// .string (includes quotes) +// .number +// .boolean +// .key (object key) +// .keyword ("null", "undefined") +// .object.syntax ("{", "}") +// .array.syntax ("[", "]") + +var module; +(module||{}).exports = renderjson = (function() { + var themetext = function(/* [class, text]+ */) { + var spans = []; + while (arguments.length) + spans.push(append(span(Array.prototype.shift.call(arguments)), + text(Array.prototype.shift.call(arguments)))); + return spans; + }; + var append = function(/* el, ... */) { + var el = Array.prototype.shift.call(arguments); + for (var a=0; a 0) + show(); + return el; + + }; + + if (json === null) return themetext(null, my_indent, "keyword", "null"); + if (json === void 0) return themetext(null, my_indent, "keyword", "undefined"); + + if (typeof(json) == "string" && json.length > max_string) + return disclosure('"', json.substr(0,max_string)+" ...", '"', "string", function () { + return append(span("string"), themetext(null, my_indent, "string", JSON.stringify(json))); + }); + + if (typeof(json) != "object") // Strings, numbers and bools + return themetext(null, my_indent, typeof(json), JSON.stringify(json)); + + if (json.constructor == Array) { + if (json.length == 0) return themetext(null, my_indent, "array syntax", "[]"); + + return disclosure("[", " ... ", "]", "array", function () { + var as = append(span("array"), themetext("array syntax", "[", null, "\n")); + for (var i=0; i -1) ? show_level + 1 : show_level - 1 ), max_string, sort_objects), + k != last ? themetext("syntax", ",") : [], + text("\n")); + } + append(os, themetext(null, indent, "object syntax", "}")); + return os; + }); + } + + var renderjson = function renderjson(json) + { + var pre = append(document.createElement("pre"), _renderjson(json, "", false, renderjson.show_to_level, renderjson.max_string_length, renderjson.sort_objects)); + pre.className = "renderjson"; + return pre; + } + renderjson.set_icons = function(show, hide) { renderjson.show = show; + renderjson.hide = hide; + return renderjson; }; + renderjson.set_show_to_level = function(level) { renderjson.show_to_level = typeof level == "string" && + level.toLowerCase() === "all" ? Number.MAX_VALUE + : level; + return renderjson; }; + renderjson.set_max_string_length = function(length) { renderjson.max_string_length = typeof length == "string" && + length.toLowerCase() === "none" ? Number.MAX_VALUE + : length; + return renderjson; }; + renderjson.set_sort_objects = function(sort_bool) { renderjson.sort_objects = sort_bool; + return renderjson; }; + // Backwards compatiblity. Use set_show_to_level() for new code. + renderjson.set_show_by_default = function(show) { renderjson.show_to_level = show ? Number.MAX_VALUE : 0; + return renderjson; }; + + //Added by timgdavies + renderjson.set_default_open = function(node_list) { renderjson.default_open = node_list ? node_list : [] ; return renderjson; }; + + renderjson.set_icons('⊕', '⊖'); + renderjson.set_show_by_default(false); + renderjson.set_sort_objects(false); + renderjson.set_max_string_length("none"); + renderjson.set_default_open([]); + return renderjson; +})(); \ No newline at end of file diff --git a/docs/_templates/layout.html b/docs/_templates/layout.html index 6fceec14..4f0d56e8 100644 --- a/docs/_templates/layout.html +++ b/docs/_templates/layout.html @@ -1,4 +1,4 @@ {% extends "!layout.html" %} -{% set css_files = css_files + ["_static/basic.css"] %} - +{% set css_files = css_files + ["_static/renderjson.css", "_static/jsonschema.css"] %} +{% set script_files = script_files + ["_static/renderjson.js", "_static/json-example-format.js"] %} diff --git a/docs/reference/schema.md b/docs/reference/schema.md index 1814d6e9..31268ea4 100644 --- a/docs/reference/schema.md +++ b/docs/reference/schema.md @@ -205,7 +205,7 @@ file: ../../examples/hazard/fathom/Hazard metadata_Event sets_Hazards.csv ```{eval-rst} .. jsoninclude:: ../../examples/hazard/fathom/example.json - :jsonpointer: + :jsonpointer: /datasets/0 :title: Example ``` @@ -273,7 +273,7 @@ file: ../../examples/hazard/aqueduct/Hazard metadata_Event sets_Hazards.csv ```{eval-rst} .. jsoninclude:: ../../examples/hazard/aqueduct/example.json - :jsonpointer: + :jsonpointer: /datasets/0 :title: Example ``` @@ -395,7 +395,7 @@ file: ../../examples/exposure/central_asia_residential_projected/Exposure metada ```{eval-rst} .. jsoninclude:: ../../examples/exposure/central_asia_residential_projected/example.json - :jsonpointer: + :jsonpointer: /datasets/0 :title: Example ``` @@ -483,7 +483,7 @@ file: ../../examples/exposure/central_asia_residential_current/Exposure metadata ```{eval-rst} .. jsoninclude:: ../../examples/exposure/central_asia_residential_current/example.json - :jsonpointer: + :jsonpointer: /datasets/0 :title: Example ``` @@ -596,7 +596,7 @@ file: ../../examples/vulnerability/flood_jrc/Vulnerability metadata_Asset cost.c ```{eval-rst} .. jsoninclude:: ../../examples/vulnerability/flood_jrc/example.json - :jsonpointer: + :jsonpointer: /datasets/0 :title: Example ``` From 4e03e341c1693417d63a00234dc19e08b7bcd965 Mon Sep 17 00:00:00 2001 From: Duncan Dewhurst Date: Wed, 30 Aug 2023 15:06:42 +1200 Subject: [PATCH 37/37] Update changelog --- docs/about/changelog.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/about/changelog.md b/docs/about/changelog.md index 1de0eb81..ca47386d 100644 --- a/docs/about/changelog.md +++ b/docs/about/changelog.md @@ -102,6 +102,7 @@ This page lists changes to the Risk Data Library Standard. - [#146](https://github.com/GFDRR/rdl-standard/pull/146) - Update introduction to the RDLS reference section. - [#193](https://github.com/GFDRR/rdl-standard/pull/193) - Fix lists of referencing fields for subschemas and codelists. - [#225](https://github.com/GFDRR/rdl-standard/pull/225) - Update high level descriptions of the 4 risk data components. +- [#196](https://github.com/GFDRR/rdl-standard/pull/196) - Add examples to schema reference documentation. ### Non-normative documentation

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