.. figure:: img/AutoGIS_banner.jpg
Automating GIS-processes 2021
==============================
**Welcome to the Automating GIS-processes course 2021!** This course introduces you to geographic data analysis in
the Python programming language through interactive lessons and hands-on exercises. If you are new to Python, we recommend that you start with
the Geo-Python course materials at `https://geo-python.github.io <https://geo-python.github.io>`_ before diving into the GIS stuff in this course.
Geo-Python and Automating GIS processes ("AutoGIS") have been developed at the Department of Geosciences and Geography, University of Helsinki, Finland, and
the materials are openly available for anyone interested.
.. admonition:: Open Access!
Course materials and recorded lesson videos are **open for everyone**. The aim of this course is to share the
knowledge and help people to get started with their journey for doing GIS more efficiently and in a reproducible manner
using Python programming. Feel free to share this website to anyone interested, and to use these materials in your own teaching.
You can read more info about the license and terms of usage in `here <course-info/License-terms.html>`_.
After completing this course, the students can manage, analyze and visualize spatial data
systematically and efficiently using Python, and critically evaluate the available methods.
In addition to geographic data manipulation and analysis skills (for example, reading and writing files,
managing coordinate reference systems,overlay analysis, network analysis) in Python,
the students continue to learn good programming practices, including the use of a version control system (git) and
documenting and communicating their analysis workflow in online repositories (GitHub).
.. admonition:: Interactive contents
Each lesson in this course can be turned into an interactive programming session in the browser!
You can find buttons for activating the python environment using `Thebe <https://thebe.readthedocs.io/en/latest/>`__
or `Binder <https://mybinder.readthedocs.io/en/latest/>`__ at the top of each programming lesson. Students at Finnish
higher education institutions are encourage to use the `CSC notebooks <https://notebooks.csc.fi/>`__ environment.
Course format
-------------
The majority of this course will be spent in front of a computer learning to program in the Python language.
The course consists of interactive lectures and weekly exercises. The exercises will focus on developing
basic programming skills using Python and applying those skills to manipulate and analyze geographic information.
Most exercises in this course involve real world examples and data.
For each exercise, you may be asked to submit the Python codes you have written, output figures and answers
to related questions. You are encouraged to discuss and work together with other students while working
on the weekly exercises. The final exercise must be completed individually and
must clearly reflect your own work (in short, don't copy paste from other students).
.. admonition:: University of Helsinki students
The Automating GIS processes course is part of the
`Master's Programme in Geography at the University of Helsinki <https://www.helsinki.fi/en/admissions/degree-programmes/geography-masters-programme>`__
under the course code ``GEOG-329-2``.
.. admonition:: Online teaching
Please note that the course is organized online during the 2021 Autumn semester.
Access to Zoom, Slack and CSC notebooks is available to students at Finnish higher education institutes. Recorded
lesson videos and course materials are openly available to everyone interested.
Course topics by week
---------------------
During this course, we will dive into manipulating and analyzing geographic data in Python. This course builds upon topics
introduced in the Geo-Python course, where we focused on learning the basics of Python programming.
You can find materials from the Geo-Python course at `https://geo-python.github.io <https://geo-python.github.io>`_.
The Automating GIS processes course runs for seven weeks at the University of Helsinki
starting in the second teaching period on Tuesday the 2nd of November 2021. Topics per week are listed below.
Please note that this web page is updated each week before the lesson:
+----------------+---------------------------------+
| Week | Theme |
+================+=================================+
| **1** | Shapely and geometric objects |
| | (points, lines and polygons) |
| | |
| | |
+----------------+---------------------------------+
| **2** | Managing spatial data with |
| | Geopandas (reading and writing |
| | data, projections, table joins) |
| | |
+----------------+---------------------------------+
| **3** | Geocoding and spatial |
| | queries |
| | |
+----------------+---------------------------------+
| **4** | Reclassifying data, |
| | overlay analysis |
| | |
+----------------+---------------------------------+
| **5** | Visualization: static |
| | and interactive maps |
| | |
+----------------+---------------------------------+
| **6** | Course recap and |
| | Preparing for the final |
| | assignment |
| | |
+----------------+---------------------------------+
| **7** | OpenStreetMap data (osmnx) and |
| | Network analysis (networkx) |
| | |
+----------------+---------------------------------+
| **Extra** | PyQGIS, Raster processing |
| **materials** | |
| **for** | |
| **self-study** | |
+----------------+---------------------------------+
|
.. admonition:: Earlier versions of the course
Older course materials are available at:
- `2020 <https://autogis-site.readthedocs.io/en/2020_/>`__
- `2019 <https://autogis-site.readthedocs.io/en/2019/>`__
- `2018 <https://autogis-site.readthedocs.io/en/2018_/>`__
- `2017 <https://automating-gis-processes.github.io/2017/>`__
- `2016 <https://automating-gis-processes.github.io/2016/>`__
Contents
--------
.. toctree::
:maxdepth: 1
:caption: Course information
course-info/course-info
course-info/course-environment-components
course-info/grading
course-info/learning-goals
course-info/installing-miniconda
course-info/create-python-gis-env
course-info/resources
course-info/License-terms
.. toctree::
:maxdepth: 2
:caption: Lesson 1
lessons/L1/overview
lessons/L1/course-motivation
notebooks/L1/geometric-objects.ipynb
lessons/L1/exercise-1
.. toctree::
:maxdepth: 2
:caption: Lesson 2
lessons/L2/overview
lessons/L2/definitions.rst
notebooks/L2/00-data-io.ipynb
notebooks/L2/01-geopandas-basics.ipynb
notebooks/L2/02-projections.ipynb
notebooks/L2/03-create-geodataframes.ipynb
lessons/L2/exercise-2
.. toctree::
:maxdepth: 2
:caption: Lesson 3
lessons/L3/overview
lessons/L3/geocoding
notebooks/L3/01_geocoding_in_geopandas.ipynb
notebooks/L3/02_point-in-polygon.ipynb
notebooks/L3/03_spatial-join.ipynb
notebooks/L3/04_nearest-neighbour.ipynb
notebooks/L3/05_spatial_index.ipynb
notebooks/L3/06_nearest-neighbor-faster.ipynb
lessons/L3/exercise-3
.. toctree::
:maxdepth: 2
:caption: Lesson 4
lessons/L4/overview
notebooks/L4/geometric-operations.ipynb
notebooks/L4/create_health_district_polygons.ipynb
notebooks/L4/reclassify.ipynb
lessons/L4/exercise-4
.. toctree::
:maxdepth: 2
:caption: Lesson 5
lessons/L5/overview
notebooks/L5/01_static_maps.ipynb
notebooks/L5/02_interactive-map-folium.ipynb
notebooks/L5/03_employment_rate_map.ipynb
lessons/L5/share-on-github
lessons/L5/exercise-5
.. toctree::
:maxdepth: 2
:caption: Lesson 6
lessons/L6/overview
notebooks/L6/00_retrieve_osm_data.ipynb
notebooks/L6/01_network_analysis.ipynb
lessons/L6/exercise-6
.. toctree::
:maxdepth: 2
:caption: Final Assignment
lessons/FA/final-assignment
lessons/FA/final-assignment-grading
lessons/FA/fa-hints
.. toctree::
:maxdepth: 2
:caption: Extra: PyQGIS
lessons/PyQGIS/overview
lessons/PyQGIS/pyqgis
lessons/PyQGIS/additional_pyqgis_functions
.. toctree::
:maxdepth: 2
:caption: Extra: Raster
lessons/Raster/overview
lessons/Raster/download-data
notebooks/Raster/reading-raster.ipynb
notebooks/Raster/plotting-raster.ipynb
notebooks/Raster/clipping-raster.ipynb
notebooks/Raster/raster-map-algebra.ipynb
notebooks/Raster/raster-mosaic.ipynb
notebooks/Raster/zonal-statistics.ipynb
notebooks/Raster/read-cogs.ipynb