From 9118cc48e40bbd4efbc26bce8fc99402b07f6d6e Mon Sep 17 00:00:00 2001
From:  <>
Date: Mon, 23 Sep 2024 15:43:13 +0000
Subject: [PATCH] Deployed 1cc572d with MkDocs version: 1.6.1

---
 index.html                   |  16 ++--
 installation/index.html      | 146 ++++++-----------------------------
 installation/installation.md |  41 ++--------
 search/search_index.json     |   2 +-
 4 files changed, 41 insertions(+), 164 deletions(-)

diff --git a/index.html b/index.html
index 0afd3a8..1c58140 100644
--- a/index.html
+++ b/index.html
@@ -1495,7 +1495,13 @@ <h2 id="installed-packages">Installed packages<a class="anchor-link" href="#inst
 joblib                          1.4.2
 jsbeautifier                    1.15.1
 json5                           0.9.25
-jsonpointer                     3.0.0
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>jsonpointer                     3.0.0
 jsonschema                      4.23.0
 jsonschema-specifications       2023.12.1
 jupyter_client                  8.6.3
@@ -1548,13 +1554,7 @@ <h2 id="installed-packages">Installed packages<a class="anchor-link" href="#inst
 mistune                         3.0.2
 mkdocs                          1.6.1
 mkdocs-autorefs                 1.2.0
-</pre>
-</div>
-</div>
-<div class="jp-OutputArea-child">
-<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
-<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
-<pre>mkdocs-get-deps                 0.2.0
+mkdocs-get-deps                 0.2.0
 mkdocs-git-revision-date-plugin 0.3.2
 mkdocs-jupyter                  0.25.0
 mkdocs-material                 9.5.36
diff --git a/installation/index.html b/installation/index.html
index 34fbcdf..7196121 100644
--- a/installation/index.html
+++ b/installation/index.html
@@ -332,69 +332,30 @@
     </span>
   </a>
   
-    <nav class="md-nav" aria-label="Video Tutorial">
-      <ul class="md-nav__list">
-        
-          <li class="md-nav__item">
+</li>
+      
+        <li class="md-nav__item">
   <a href="#installing-using-uv" class="md-nav__link">
     <span class="md-ellipsis">
       Installing using uv
     </span>
   </a>
   
-</li>
-        
-      </ul>
-    </nav>
-  
 </li>
       
         <li class="md-nav__item">
-  <a href="#installing-with-anacondaminiconda" class="md-nav__link">
-    <span class="md-ellipsis">
-      Installing with Anaconda/Miniconda
-    </span>
-  </a>
-  
-    <nav class="md-nav" aria-label="Installing with Anaconda/Miniconda">
-      <ul class="md-nav__list">
-        
-          <li class="md-nav__item">
-  <a href="#using-the-conda-forge-channel" class="md-nav__link">
+  <a href="#installing-using-conda" class="md-nav__link">
     <span class="md-ellipsis">
-      Using the conda-forge channel
+      Installing using conda
     </span>
   </a>
   
-</li>
-        
-          <li class="md-nav__item">
-  <a href="#creating-a-new-conda-environment" class="md-nav__link">
-    <span class="md-ellipsis">
-      Creating a new conda environment
-    </span>
-  </a>
-  
-</li>
-        
-          <li class="md-nav__item">
-  <a href="#using-mamba" class="md-nav__link">
-    <span class="md-ellipsis">
-      Using Mamba
-    </span>
-  </a>
-  
-</li>
-        
-      </ul>
-    </nav>
-  
 </li>
       
         <li class="md-nav__item">
-  <a href="#installing-with-pip" class="md-nav__link">
+  <a href="#installing-using-pip" class="md-nav__link">
     <span class="md-ellipsis">
-      Installing with pip
+      Installing using pip
     </span>
   </a>
   
@@ -611,69 +572,30 @@
     </span>
   </a>
   
-    <nav class="md-nav" aria-label="Video Tutorial">
-      <ul class="md-nav__list">
-        
-          <li class="md-nav__item">
+</li>
+      
+        <li class="md-nav__item">
   <a href="#installing-using-uv" class="md-nav__link">
     <span class="md-ellipsis">
       Installing using uv
     </span>
   </a>
   
-</li>
-        
-      </ul>
-    </nav>
-  
 </li>
       
         <li class="md-nav__item">
-  <a href="#installing-with-anacondaminiconda" class="md-nav__link">
-    <span class="md-ellipsis">
-      Installing with Anaconda/Miniconda
-    </span>
-  </a>
-  
-    <nav class="md-nav" aria-label="Installing with Anaconda/Miniconda">
-      <ul class="md-nav__list">
-        
-          <li class="md-nav__item">
-  <a href="#using-the-conda-forge-channel" class="md-nav__link">
-    <span class="md-ellipsis">
-      Using the conda-forge channel
-    </span>
-  </a>
-  
-</li>
-        
-          <li class="md-nav__item">
-  <a href="#creating-a-new-conda-environment" class="md-nav__link">
-    <span class="md-ellipsis">
-      Creating a new conda environment
-    </span>
-  </a>
-  
-</li>
-        
-          <li class="md-nav__item">
-  <a href="#using-mamba" class="md-nav__link">
+  <a href="#installing-using-conda" class="md-nav__link">
     <span class="md-ellipsis">
-      Using Mamba
+      Installing using conda
     </span>
   </a>
   
-</li>
-        
-      </ul>
-    </nav>
-  
 </li>
       
         <li class="md-nav__item">
-  <a href="#installing-with-pip" class="md-nav__link">
+  <a href="#installing-using-pip" class="md-nav__link">
     <span class="md-ellipsis">
-      Installing with pip
+      Installing using pip
     </span>
   </a>
   
@@ -731,45 +653,25 @@ <h1 id="installation">Installation<a class="headerlink" href="#installation" tit
 <p>The geospatial package has many dependencies, such as <a href="https://geopandas.org">GeoPandas</a> and <a href="https://github.com/banesullivan/localtileserver">localtileserver</a>. These optional dependencies can sometimes be a challenge to install, especially on Windows. Therefore, we advise you to closely follow the recommendations below to avoid installation problems.</p>
 <h2 id="video-tutorial">Video Tutorial<a class="headerlink" href="#video-tutorial" title="Permanent link">&para;</a></h2>
 <p><a href="https://youtu.be/Y1xB7d2VbFY" title="Introducing geospatial"><img alt="Introducing geospatial" src="../images/thumbnail.png" /></a></p>
-<h3 id="installing-using-uv">Installing using uv<a class="headerlink" href="#installing-using-uv" title="Permanent link">&para;</a></h3>
+<h2 id="installing-using-uv">Installing using uv<a class="headerlink" href="#installing-using-uv" title="Permanent link">&para;</a></h2>
 <p><a href="https://docs.astral.sh/uv/">uv</a> is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install <code>geospatial</code> using <code>uv</code> as follows:</p>
-<div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal">1</span>
-<span class="normal">2</span></pre></div></td><td class="code"><div><pre><span></span><code>uv<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>geospatial
-uv<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>--find-links<span class="w"> </span>https://girder.github.io/large_image_wheels<span class="w"> </span>gdal<span class="w"> </span>pdal<span class="w"> </span>pyproj
-</code></pre></div></td></tr></table></div>
-<h2 id="installing-with-anacondaminiconda">Installing with Anaconda/Miniconda<a class="headerlink" href="#installing-with-anacondaminiconda" title="Permanent link">&para;</a></h2>
-<p>To install geospatial and all its dependencies, we recommend you use the <a href="https://conda.io/en/latest">conda</a> package manager. This can be obtained by installing the <a href="https://www.anaconda.com/distribution">Anaconda Distribution</a> (a free Python distribution for data science), or through <a href="https://docs.conda.io/en/latest/miniconda.html">Miniconda</a> (minimal distribution only containing Python and the conda package manager). See also the <a href="https://conda.io/docs/user-guide/install/download.html">installation docs</a> for more information on how to install Anaconda or Miniconda locally.</p>
-<h3 id="using-the-conda-forge-channel">Using the conda-forge channel<a class="headerlink" href="#using-the-conda-forge-channel" title="Permanent link">&para;</a></h3>
-<p>Geospatial is available on the <a href="https://anaconda.org/conda-forge/geospatial">conda-forge</a> channel, a community effort that provides <a href="https://conda-forge.org">conda packages</a> for a wide range of software.</p>
-<div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal">1</span></pre></div></td><td class="code"><div><pre><span></span><code>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>geospatial
-</code></pre></div></td></tr></table></div>
-<h3 id="creating-a-new-conda-environment">Creating a new conda environment<a class="headerlink" href="#creating-a-new-conda-environment" title="Permanent link">&para;</a></h3>
-<p>Creating a new environment is not strictly necessary, but given that some geospatial dependencies might have a version conflict with other geospatial packages in an existing conda environment, it is a good practice to install geospatial and its dependencies in a clean environment starting fresh.</p>
-<p>The following commands create a new conda environment with the name <code>geo</code> and install geospatial and its dependencies (e.g., GeoPandas, localtileserver) in it:</p>
-<div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal">1</span>
-<span class="normal">2</span>
-<span class="normal">3</span>
-<span class="normal">4</span></pre></div></td><td class="code"><div><pre><span></span><code>conda<span class="w"> </span>create<span class="w"> </span>-n<span class="w"> </span>geo<span class="w"> </span><span class="nv">python</span><span class="o">=</span><span class="m">3</span>.9
-conda<span class="w"> </span>activate<span class="w"> </span>geo
-conda<span class="w"> </span>install<span class="w"> </span>geopandas
-conda<span class="w"> </span>install<span class="w"> </span>geospatial<span class="w"> </span>-c<span class="w"> </span>conda-forge
+<div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal">1</span></pre></div></td><td class="code"><div><pre><span></span><code>uv<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>geospatial
 </code></pre></div></td></tr></table></div>
-<p><strong>Important note:</strong> If you are using Windows, we advise you to closely follow the installation instructions above to install GeoPandas from the default conda channel (<code>conda install geopandas</code>) rather than from the conda-forge channel. This can avoid a potential <code>spatialindex_c-64.dll</code> error when using GeoPandas (<a href="https://github.com/geopandas/geopandas/issues/1812">source</a>). If you are using Linux or macOS, it is okay to install all geospatial dependencies from the conda-forge channel with the following command:</p>
-<div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal">1</span></pre></div></td><td class="code"><div><pre><span></span><code>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>geospatial
+<p>If you are on Linux and want to install GDAL, you can use the following command:</p>
+<div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal">1</span></pre></div></td><td class="code"><div><pre><span></span><code>uv<span class="w"> </span>pip<span class="w"> </span>install<span class="w"> </span>--find-links<span class="w"> </span>https://girder.github.io/large_image_wheels<span class="w"> </span>gdal<span class="w"> </span>pdal<span class="w"> </span>pyproj
 </code></pre></div></td></tr></table></div>
-<h3 id="using-mamba">Using Mamba<a class="headerlink" href="#using-mamba" title="Permanent link">&para;</a></h3>
-<p>When installing packages using the conda package manager, sometimes it can take a while for conda to resolve dependencies. If it takes too long or fails to resolve dependencies, you can try using the <a href="https://mamba.readthedocs.io/en/latest">Mamba</a> package manager to install geospatial and its dependencies. Mamba is a fast, robust, and cross-platform package manager. It runs on Windows, macOS, and Linux, and is fully compatible with conda packages and supports most of conda’s commands. Once Mamba is installed in a conda environment, you can then simply replace any <code>conda</code> command with <code>mamba</code>. For example, to install geospatial and its dependencies with Mamba, you can use the following commands:</p>
+<p>For windows and macOS users, you can install GDAL using mamba as shown in the following section.</p>
+<h2 id="installing-using-conda">Installing using conda<a class="headerlink" href="#installing-using-conda" title="Permanent link">&para;</a></h2>
+<p>To install geospatial and all its dependencies, we recommend you use the <a href="https://mamba.readthedocs.io/en/latest/user_guide/mamba.html">mamba</a> package manager. This can be obtained by installing the <a href="https://www.anaconda.com/download">Anaconda Distribution</a> (a free Python distribution for data science), or through <a href="https://docs.anaconda.com/miniconda/">Miniconda</a> (minimal distribution only containing Python and the conda package manager).</p>
 <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal">1</span>
 <span class="normal">2</span>
 <span class="normal">3</span>
-<span class="normal">4</span>
-<span class="normal">5</span></pre></div></td><td class="code"><div><pre><span></span><code>conda<span class="w"> </span>create<span class="w"> </span>-n<span class="w"> </span>geo<span class="w"> </span><span class="nv">python</span><span class="o">=</span><span class="m">3</span>.9
+<span class="normal">4</span></pre></div></td><td class="code"><div><pre><span></span><code>conda<span class="w"> </span>create<span class="w"> </span>-n<span class="w"> </span>geo<span class="w"> </span>python
 conda<span class="w"> </span>activate<span class="w"> </span>geo
 conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>mamba
-mamba<span class="w"> </span>install<span class="w"> </span>geopandas
 mamba<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>geospatial
 </code></pre></div></td></tr></table></div>
-<h2 id="installing-with-pip">Installing with pip<a class="headerlink" href="#installing-with-pip" title="Permanent link">&para;</a></h2>
+<h2 id="installing-using-pip">Installing using pip<a class="headerlink" href="#installing-using-pip" title="Permanent link">&para;</a></h2>
 <p>geospatial is also available on <a href="https://pypi.org/project/geospatial">PyPI</a>. It can be installed with pip using the following command:</p>
 <div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal">1</span></pre></div></td><td class="code"><div><pre><span></span><code>pip<span class="w"> </span>install<span class="w"> </span>geospatial
 </code></pre></div></td></tr></table></div>
@@ -816,7 +718,7 @@ <h2 id="upgrading-geospatial">Upgrading geospatial<a class="headerlink" href="#u
     <span class="md-icon" title="Last update">
       <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M21 13.1c-.1 0-.3.1-.4.2l-1 1 2.1 2.1 1-1c.2-.2.2-.6 0-.8l-1.3-1.3c-.1-.1-.2-.2-.4-.2m-1.9 1.8-6.1 6V23h2.1l6.1-6.1zM12.5 7v5.2l4 2.4-1 1L11 13V7zM11 21.9c-5.1-.5-9-4.8-9-9.9C2 6.5 6.5 2 12 2c5.3 0 9.6 4.1 10 9.3-.3-.1-.6-.2-1-.2s-.7.1-1 .2C19.6 7.2 16.2 4 12 4c-4.4 0-8 3.6-8 8 0 4.1 3.1 7.5 7.1 7.9l-.1.2z"/></svg>
     </span>
-    2024-09-22
+    2024-09-23
   </span>
 
     
diff --git a/installation/installation.md b/installation/installation.md
index b69f81e..5c98c2c 100644
--- a/installation/installation.md
+++ b/installation/installation.md
@@ -6,59 +6,34 @@ The geospatial package has many dependencies, such as [GeoPandas](https://geopan
 
 [![Introducing geospatial](images/thumbnail.png)](https://youtu.be/Y1xB7d2VbFY "Introducing geospatial")
 
-### Installing using uv
+## Installing using uv
 
 [uv](https://docs.astral.sh/uv/) is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install `geospatial` using `uv` as follows:
 
 ```bash
 uv pip install geospatial
-uv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj
 ```
 
-## Installing with Anaconda/Miniconda
-
-To install geospatial and all its dependencies, we recommend you use the [conda](https://conda.io/en/latest) package manager. This can be obtained by installing the [Anaconda Distribution](https://www.anaconda.com/distribution) (a free Python distribution for data science), or through [Miniconda](https://docs.conda.io/en/latest/miniconda.html) (minimal distribution only containing Python and the conda package manager). See also the [installation docs](https://conda.io/docs/user-guide/install/download.html) for more information on how to install Anaconda or Miniconda locally.
-
-### Using the conda-forge channel
-
-Geospatial is available on the [conda-forge](https://anaconda.org/conda-forge/geospatial) channel, a community effort that provides [conda packages](https://conda-forge.org) for a wide range of software.
+If you are on Linux and want to install GDAL, you can use the following command:
 
 ```bash
-conda install -c conda-forge geospatial
-```
-
-### Creating a new conda environment
-
-Creating a new environment is not strictly necessary, but given that some geospatial dependencies might have a version conflict with other geospatial packages in an existing conda environment, it is a good practice to install geospatial and its dependencies in a clean environment starting fresh.
-
-The following commands create a new conda environment with the name `geo` and install geospatial and its dependencies (e.g., GeoPandas, localtileserver) in it:
-
-```bash
-conda create -n geo python=3.9
-conda activate geo
-conda install geopandas
-conda install geospatial -c conda-forge
+uv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj
 ```
 
-**Important note:** If you are using Windows, we advise you to closely follow the installation instructions above to install GeoPandas from the default conda channel (`conda install geopandas`) rather than from the conda-forge channel. This can avoid a potential `spatialindex_c-64.dll` error when using GeoPandas ([source](https://github.com/geopandas/geopandas/issues/1812)). If you are using Linux or macOS, it is okay to install all geospatial dependencies from the conda-forge channel with the following command:
-
-```bash
-conda install -c conda-forge geospatial
-```
+For windows and macOS users, you can install GDAL using mamba as shown in the following section.
 
-### Using Mamba
+## Installing using conda
 
-When installing packages using the conda package manager, sometimes it can take a while for conda to resolve dependencies. If it takes too long or fails to resolve dependencies, you can try using the [Mamba](https://mamba.readthedocs.io/en/latest) package manager to install geospatial and its dependencies. Mamba is a fast, robust, and cross-platform package manager. It runs on Windows, macOS, and Linux, and is fully compatible with conda packages and supports most of conda’s commands. Once Mamba is installed in a conda environment, you can then simply replace any `conda` command with `mamba`. For example, to install geospatial and its dependencies with Mamba, you can use the following commands:
+To install geospatial and all its dependencies, we recommend you use the [mamba](https://mamba.readthedocs.io/en/latest/user_guide/mamba.html) package manager. This can be obtained by installing the [Anaconda Distribution](https://www.anaconda.com/download) (a free Python distribution for data science), or through [Miniconda](https://docs.anaconda.com/miniconda/) (minimal distribution only containing Python and the conda package manager).
 
 ```bash
-conda create -n geo python=3.9
+conda create -n geo python
 conda activate geo
 conda install -c conda-forge mamba
-mamba install geopandas
 mamba install -c conda-forge geospatial
 ```
 
-## Installing with pip
+## Installing using pip
 
 geospatial is also available on [PyPI](https://pypi.org/project/geospatial). It can be installed with pip using the following command:
 
diff --git a/search/search_index.json b/search/search_index.json
index d8079cb..70deb87 100644
--- a/search/search_index.json
+++ b/search/search_index.json
@@ -1 +1 @@
-{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Home","text":"In\u00a0[1]: Copied! <pre>!pip list\n</pre> !pip list <pre>Package                         Version        Editable project location\r\n------------------------------- -------------- ---------------------------------------\r\naccess                          1.1.9\r\naenum                           3.1.15\r\naffine                          2.4.0\r\naiobotocore                     2.15.1\r\naiohappyeyeballs                2.4.0\r\naiohttp                         3.10.5\r\naioitertools                    0.12.0\r\naiosignal                       1.3.1\r\nalabaster                       1.0.0\r\naniso8601                       9.0.1\r\nannotated-types                 0.7.0\r\nanyio                           4.6.0\r\nanywidget                       0.9.13\r\napache-sedona                   1.6.1\r\nappdirs                         1.4.4\r\nargon2-cffi                     23.1.0\r\nargon2-cffi-bindings            21.2.0\r\narrow                           1.3.0\r\nasciitree                       0.3.3\r\nasgiref                         3.8.1\r\nasttokens                       2.4.1\r\nasync-lru                       2.0.4\r\nattrs                           24.2.0\r\nazure-core                      1.31.0\r\nazure-storage-blob              12.23.0\r\nazure-storage-file-datalake     12.17.0\r\nbabel                           2.16.0\r\nbeautifulsoup4                  4.12.3\r\nblack                           24.8.0\r\nbleach                          6.1.0\r\nblinker                         1.8.2\r\nbokeh                           3.4.3\r\nboto3                           1.35.23\r\nbotocore                        1.35.23\r\nbounded-pool-executor           0.0.3\r\nbqplot                          0.12.43\r\nbranca                          0.7.2\r\nBrotli                          1.1.0\r\nbump2version                    1.0.1\r\ncachelib                        0.9.0\r\ncachetools                      5.5.0\r\ncenpy                           1.0.1\r\ncertifi                         2024.8.30\r\ncffi                            1.17.1\r\ncftime                          1.6.4\r\nchardet                         5.2.0\r\ncharset-normalizer              3.3.2\r\nchroma-py                       0.1.0.dev1\r\nclick                           8.1.7\r\nclick-plugins                   1.1.1\r\ncligj                           0.7.2\r\ncloudpathlib                    0.19.0\r\ncloudpickle                     3.0.0\r\ncodespell                       2.3.0\r\ncolor-operations                0.1.5\r\ncolorama                        0.4.6\r\ncolorcet                        3.1.0\r\ncolorlog                        6.8.2\r\ncolour                          0.1.5\r\ncomm                            0.2.2\r\nconfigobj                       5.0.9\r\ncontextily                      1.6.2\r\ncontourpy                       1.3.0\r\ncoverage                        7.6.1\r\ncryptography                    43.0.1\r\ncssselect2                      0.7.0\r\ncubo                            2024.8.0\r\ncycler                          0.12.1\r\ndask                            2024.8.0\r\ndask-expr                       1.1.10\r\ndask-geopandas                  0.4.1\r\ndataclasses-json                0.6.7\r\ndatashader                      0.16.3\r\ndebugpy                         1.8.5\r\ndecorator                       5.1.1\r\ndefusedxml                      0.7.1\r\ndeprecation                     2.1.0\r\ndicttoxml                       1.7.16\r\ndill                            0.3.8\r\ndistlib                         0.3.8\r\ndistributed                     2024.8.0\r\ndocopt                          0.6.2\r\ndocutils                        0.21.2\r\ndonfig                          0.8.1.post1\r\nduckdb                          1.1.0\r\nearthaccess                     0.10.0\r\nearthengine-api                 1.1.0\r\nearthpy                         0.9.4\r\neasystac                        0.0.1\r\nEditorConfig                    0.12.4\r\nee_extra                        0.0.15\r\neemont                          0.3.6\r\neerepr                          0.0.4\r\neoreader                        0.21.2\r\nesda                            2.5.1\r\nexecuting                       2.1.0\r\nfasteners                       0.19\r\nfastjsonschema                  2.20.0\r\nffmpeg-python                   0.2.0\r\nfilelock                        3.16.1\r\nfiona                           1.10.1\r\nflake8                          7.1.1\r\nFlask                           3.0.3\r\nFlask-Caching                   2.3.0\r\nFlask-Cors                      5.0.0\r\nflask-restx                     1.3.0\r\nfolium                          0.17.0\r\nfonttools                       4.53.1\r\nfqdn                            1.5.1\r\nfrozenlist                      1.4.1\r\nfsspec                          2024.9.0\r\nfuture                          1.0.0\r\nfuzzywuzzy                      0.18.0\r\nGDAL                            3.10.0\r\ngdown                           5.2.0\r\ngeeadd                          1.2.0\r\ngeedim                          1.8.1\r\ngeemap                          0.34.3\r\nGeoAlchemy2                     0.15.2\r\ngeocoder                        1.38.1\r\ngeocube                         0.4.2\r\ngeographiclib                   2.0\r\ngeojson                         3.1.0\r\ngeomet                          1.1.0\r\ngeopandas                       1.0.1\r\ngeopy                           2.4.1\r\ngeospatial                      0.11.1         /home/runner/work/geospatial/geospatial\r\ngeotiff                         0.2.10\r\nghp-import                      2.1.0\r\ngiddy                           2.3.5\r\ngitdb                           4.0.11\r\nGitPython                       3.1.43\r\ngoogle-api-core                 2.20.0\r\ngoogle-api-python-client        2.146.0\r\ngoogle-auth                     2.35.0\r\ngoogle-auth-httplib2            0.2.0\r\ngoogle-cloud-core               2.4.1\r\ngoogle-cloud-storage            2.18.2\r\ngoogle-crc32c                   1.6.0\r\ngoogle-resumable-media          2.7.2\r\ngoogleapis-common-protos        1.65.0\r\ngreenlet                        3.1.1\r\ngrip                            4.6.2\r\nh11                             0.14.0\r\nh3                              3.7.7\r\nh5netcdf                        1.3.0\r\nh5py                            3.11.0\r\nholoviews                       1.19.1\r\nhtml2text                       2024.2.26\r\nhtml5lib                        1.1\r\nhtmltools                       0.5.3\r\nhttpcore                        1.0.5\r\nhttplib2                        0.22.0\r\nhttpx                           0.27.2\r\nhvplot                          0.10.0\r\nHyperCoast                      0.6.3\r\nidna                            3.10\r\nimageio                         2.35.1\r\nimagesize                       1.4.1\r\nimportlib_metadata              8.5.0\r\nimportlib_resources             6.4.5\r\ninequality                      1.0.0\r\niniconfig                       2.0.0\r\nipyevents                       2.0.2\r\nipyfilechooser                  0.6.0\r\nipygany                         0.5.0\r\nipykernel                       6.29.5\r\nipyleaflet                      0.19.2\r\nipynb-py-convert                0.4.6\r\nipython                         8.18.0\r\nipython-genutils                0.2.0\r\nipytree                         0.2.2\r\nipyvue                          1.11.1\r\nipyvuetify                      1.10.0\r\nipywidgets                      7.8.4\r\nisodate                         0.6.1\r\nisoduration                     20.11.0\r\nitsdangerous                    2.2.0\r\njaraco.classes                  3.4.0\r\njaraco.context                  6.0.1\r\njaraco.functools                4.0.2\r\njedi                            0.19.1\r\njeepney                         0.8.0\r\nJinja2                          3.1.4\r\njmespath                        1.0.1\r\njoblib                          1.4.2\r\njsbeautifier                    1.15.1\r\njson5                           0.9.25\r\njsonpointer                     3.0.0\r\njsonschema                      4.23.0\r\njsonschema-specifications       2023.12.1\r\njupyter_client                  8.6.3\r\njupyter_core                    5.7.2\r\njupyter-events                  0.10.0\r\njupyter-leaflet                 0.19.2\r\njupyter-lsp                     2.2.5\r\njupyter_server                  2.14.2\r\njupyter_server_terminals        0.5.3\r\njupyterlab                      4.2.5\r\njupyterlab_pygments             0.3.0\r\njupyterlab_server               2.27.3\r\njupyterlab_widgets              1.1.10\r\njupytext                        1.16.4\r\nkeplergl                        0.3.2\r\nkeyring                         25.4.1\r\nkiwisolver                      1.4.7\r\nlaspy                           2.5.4\r\nlazy_loader                     0.4\r\nleafmap                         0.38.0\r\nlibpysal                        4.8.1\r\nlightgbm                        4.5.0\r\nlinkify-it-py                   2.0.3\r\nlivereload                      2.7.0\r\nllvmlite                        0.43.0\r\nlocaltileserver                 0.10.3\r\nlocket                          1.0.0\r\nlogzero                         1.7.0\r\nlonboard                        0.9.3\r\nlxml                            5.3.0\r\nlz4                             4.3.3\r\nmapboxgl                        0.10.2\r\nmapclassify                     2.8.0\r\nmaplibre                        0.2.6\r\nmapwidget                       0.1.2\r\nMarkdown                        3.7\r\nmarkdown-callouts               0.4.0\r\nmarkdown-it-py                  3.0.0\r\nMarkupSafe                      2.1.5\r\nmarshmallow                     3.22.0\r\nmatplotlib                      3.9.2\r\nmatplotlib-inline               0.1.7\r\nmccabe                          0.7.0\r\nmdit-py-plugins                 0.4.2\r\nmdurl                           0.1.2\r\nmercantile                      1.2.1\r\nmergedeep                       1.3.4\r\nmethodtools                     0.4.7\r\nmgwr                            2.2.1\r\nmistune                         3.0.2\r\nmkdocs                          1.6.1\r\nmkdocs-autorefs                 1.2.0\r\n</pre> <pre>mkdocs-get-deps                 0.2.0\r\nmkdocs-git-revision-date-plugin 0.3.2\r\nmkdocs-jupyter                  0.25.0\r\nmkdocs-material                 9.5.36\r\nmkdocs-material-extensions      1.3.1\r\nmkdocs-pdf-export-plugin        0.5.10\r\nmkdocstrings                    0.26.1\r\nmkdocstrings-crystal            0.3.7\r\nmkdocstrings-python-legacy      0.2.4\r\nmomepy                          0.6.0\r\nmore-itertools                  10.5.0\r\nmorecantile                     5.4.2\r\nmovingpandas                    0.19.0\r\nmpmath                          1.3.0\r\nmsgpack                         1.1.0\r\nmss                             9.0.2\r\nmultidict                       6.1.0\r\nmultimethod                     1.12\r\nmultipledispatch                1.0.0\r\nmypy-extensions                 1.0.0\r\nnbclient                        0.10.0\r\nnbconvert                       7.16.4\r\nnbformat                        5.10.4\r\nnest-asyncio                    1.6.0\r\nnetCDF4                         1.7.1.post2\r\nnetworkx                        3.2.1\r\nnh3                             0.2.18\r\nnotebook                        7.2.2\r\nnotebook_shim                   0.2.4\r\nnumba                           0.60.0\r\nnumcodecs                       0.12.1\r\nnumexpr                         2.10.1\r\nnumpy                           1.26.4\r\noauthlib                        3.2.2\r\nodc-geo                         0.4.8\r\nodc-stac                        0.3.10\r\nopencv-python-headless          4.10.0.84\r\nosmnx                           1.9.3\r\noverrides                       7.7.0\r\noverturemaps                    0.9.0\r\nOWSLib                          0.31.0\r\npackaging                       24.1\r\npaginate                        0.5.7\r\npalettable                      3.3.3\r\npandas                          2.2.3\r\npandocfilters                   1.5.1\r\npanel                           1.4.5\r\nparam                           2.1.1\r\nparso                           0.8.4\r\npartd                           1.4.2\r\npath-and-address                2.0.1\r\npathspec                        0.12.1\r\npatsy                           0.5.6\r\npexpect                         4.9.0\r\npillow                          10.4.0\r\npip                             24.2\r\npkginfo                         1.10.0\r\nplanetary-computer              1.0.0\r\nplatformdirs                    4.3.6\r\nplotly                          5.24.1\r\npluggy                          1.5.0\r\npointpats                       2.4.0\r\npooch                           1.8.2\r\npqdm                            0.2.0\r\nprometheus_client               0.21.0\r\nprompt-toolkit                  3.0.36\r\nproto-plus                      1.24.0\r\nprotobuf                        5.28.2\r\npsutil                          6.0.0\r\npsygnal                         0.11.1\r\nptyprocess                      0.7.0\r\nPuLP                            2.9.0\r\npure_eval                       0.2.3\r\npy                              1.11.0\r\npyarrow                         17.0.0\r\npyarrow-hotfix                  0.6\r\npyasn1                          0.6.1\r\npyasn1_modules                  0.4.1\r\npycodestyle                     2.12.1\r\npycparser                       2.22\r\nPyCRS                           1.0.2\r\npyct                            0.5.0\r\npydantic                        2.9.2\r\npydantic_core                   2.23.4\r\npydeck                          0.9.1\r\npydyf                           0.11.0\r\npyflakes                        3.2.0\r\npygis                           0.7.0\r\nPygments                        2.18.0\r\npykdtree                        1.3.13\r\npymdown-extensions              10.10.1\r\npyntcloud                       0.3.1\r\npyogrio                         0.9.0\r\npyorbital                       1.8.3\r\npyparsing                       3.1.4\r\npyperclip                       1.9.0\r\npyphen                          0.16.0\r\npyproj                          3.6.1\r\npyproject-api                   1.8.0\r\npyresample                      1.30.0\r\npysal                           24.1\r\npyshp                           2.3.1\r\nPySocks                         1.7.1\r\npystac                          1.10.1\r\npystac-client                   0.8.3\r\npytest                          8.3.3\r\npython-box                      7.2.0\r\npython-cmr                      0.13.0\r\npython-dateutil                 2.9.0.post0\r\npython-dotenv                   1.0.1\r\npython-json-logger              2.0.7\r\npython-multipart                0.0.10\r\npytkdocs                        0.16.2\r\npytz                            2024.2\r\npyviz_comms                     3.0.3\r\nPyYAML                          6.0.2\r\npyyaml_env_tag                  0.1\r\npyzmq                           26.2.0\r\nquantecon                       0.7.2\r\nquestionary                     2.0.1\r\nradiant-mlhub                   0.4.1\r\nrasterio                        1.3.11\r\nrasterstats                     0.19.0\r\nratelim                         0.1.6\r\nreadme_renderer                 44.0\r\nreferencing                     0.35.1\r\nregex                           2024.9.11\r\nrequests                        2.32.3\r\nrequests-futures                1.0.1\r\nrequests-oauthlib               2.0.0\r\nrequests-toolbelt               1.0.0\r\nretry                           0.9.2\r\nrfc3339-validator               0.1.4\r\nrfc3986                         2.0.0\r\nrfc3986-validator               0.1.1\r\nrich                            13.8.1\r\nrio-cogeo                       5.3.4\r\nrio-tiler                       6.7.0\r\nrioxarray                       0.15.0\r\nrpds-py                         0.20.0\r\nrsa                             4.9\r\nRtree                           1.3.0\r\ns2cloudless                     1.7.1\r\ns3fs                            2024.9.0\r\ns3transfer                      0.10.2\r\nsankee                          0.2.5\r\nsarpy                           1.3.58\r\nsatpy                           0.51.0\r\nscikit-image                    0.24.0\r\nscikit-learn                    1.5.2\r\nscipy                           1.13.1\r\nscooby                          0.10.0\r\nseaborn                         0.13.2\r\nSecretStorage                   3.3.3\r\nsegregation                     2.5\r\nSend2Trash                      1.8.3\r\nsentinelhub                     3.10.0\r\nsentinelsat                     1.2.1\r\nsertit                          1.42.0\r\nserver-thread                   0.2.0\r\nsetuptools                      75.1.0\r\nshapely                         2.0.6\r\nshiny                           1.1.0\r\nsimplejson                      3.19.3\r\nsimplekml                       1.3.6\r\nsix                             1.16.0\r\nsliderule                       4.6.4\r\nsmmap                           5.0.1\r\nsniffio                         1.3.1\r\nsnowballstemmer                 2.2.0\r\nsnuggs                          1.4.7\r\nsortedcontainers                2.4.0\r\nsoupsieve                       2.6\r\nspaghetti                       1.7.4\r\nspglm                           1.1.0\r\nSphinx                          8.0.2\r\nsphinxcontrib-applehelp         2.0.0\r\nsphinxcontrib-devhelp           2.0.0\r\nsphinxcontrib-htmlhelp          2.1.0\r\nsphinxcontrib-jsmath            1.0.1\r\nsphinxcontrib-qthelp            2.0.0\r\nsphinxcontrib-serializinghtml   2.0.0\r\nspint                           1.0.7\r\nsplot                           1.1.7\r\nspopt                           0.5.0\r\nspreg                           1.6.1\r\nspvcm                           0.3.0\r\nspyndex                         0.6.0\r\nSQLAlchemy                      2.0.35\r\nstack-data                      0.6.3\r\nstackstac                       0.5.1\r\nstarlette                       0.38.6\r\nstatsmodels                     0.14.3\r\nsympy                           1.13.3\r\ntabulate                        0.9.0\r\ntblib                           3.0.0\r\ntenacity                        9.0.0\r\ntermcolor                       2.4.0\r\nterminado                       0.18.1\r\nthreadpoolctl                   3.5.0\r\ntifffile                        2024.8.30\r\ntinycss2                        1.3.0\r\ntinynetrc                       1.3.1\r\ntobler                          0.11.3\r\ntokenize-rt                     6.0.0\r\ntomli                           2.0.1\r\ntomli_w                         1.0.0\r\ntoolz                           0.12.1\r\ntornado                         6.4.1\r\ntox                             4.20.0\r\ntqdm                            4.66.5\r\ntraitlets                       5.14.3\r\ntraittypes                      0.2.1\r\ntrollimage                      1.25.0\r\ntrollsift                       0.5.1\r\ntwine                           5.1.1\r\ntypes-python-dateutil           2.9.0.20240906\r\ntyping_extensions               4.12.2\r\ntyping-inspect                  0.9.0\r\ntzdata                          2024.1\r\nuc-micro-py                     1.0.3\r\nuri-template                    1.3.0\r\nuritemplate                     4.1.1\r\nurllib3                         1.26.20\r\nusgs                            0.3.5\r\nutm                             0.7.0\r\nuvicorn                         0.30.6\r\nvalidators                      0.34.0\r\nvirtualenv                      20.26.5\r\nwatchdog                        5.0.2\r\nwatchfiles                      0.24.0\r\nwcwidth                         0.2.13\r\nweasyprint                      62.3\r\nwebcolors                       24.8.0\r\nwebencodings                    0.5.1\r\nwebsocket-client                1.8.0\r\nwebsockets                      13.1\r\nWerkzeug                        3.0.4\r\nwheel                           0.44.0\r\nwhitebox                        2.3.5\r\nwhiteboxgui                     2.3.0\r\nwidgetsnbextension              3.6.9\r\nwirerope                        0.4.7\r\nwrapt                           1.16.0\r\nwxee                            0.4.2\r\nxarray                          2024.7.0\r\nxarray-spatial                  0.4.0\r\nxee                             0.0.15\r\nxyzservices                     2024.9.0\r\nyarl                            1.11.1\r\nzarr                            2.12.0\r\nzict                            3.0.0\r\nzipp                            3.20.2\r\nzopfli                          0.2.3\r\n</pre>"},{"location":"#welcome-to-geospatial","title":"Welcome to geospatial\u00b6","text":"<p>A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.</p> <ul> <li>Free software: MIT license</li> <li>Documentation: https://geospatial.gishub.org</li> </ul>"},{"location":"#disclaimer","title":"Disclaimer\u00b6","text":"<p>Currently, the <code>geospatial</code> package only helps you install commonly used packages for geospatial analysis and data visualization with only one command, making it easier to set up a conda environment for geospatial analysis and avoid dependency conflicts during installation. The <code>geospatial</code> package itself does not have any meaningful functions yet. After installation, you can continue to the commonly used geospatial packages as usual.</p>"},{"location":"#installation","title":"Installation\u00b6","text":""},{"location":"#uv","title":"uv\u00b6","text":"<p>uv is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install <code>geospatial</code> using <code>uv</code> as follows:</p> <pre>uv pip install geospatial\nuv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj\n</pre>"},{"location":"#mamba","title":"Mamba\u00b6","text":"<p>Installing commonly used packages for geospatial analysis and data visualization with only one command.</p> <pre>mamba install -c conda-forge geospatial\n</pre>"},{"location":"#video-tutorial","title":"Video Tutorial\u00b6","text":""},{"location":"#conda-forge-recipe","title":"Conda-forge recipe\u00b6","text":"<p>The recipe of the geospatial Python package on the conda-forge channel:</p> <pre><code>- python &gt;=3.9\n- apache-sedona\n- bokeh\n- cartopy\n- cenpy\n- contextily\n- cubo\n- dask-geopandas\n- datashader\n- earthaccess\n- earthengine-api\n- earthpy\n- easystac\n- eemont\n- eomaps\n- eoreader\n- fiona\n- folium &gt;=0.12.1\n- geemap &gt;=0.30.4\n- geoalchemy2\n- geocube\n- geopandas &gt;=0.10.2\n- geotiff\n- geosnap\n- geoviews\n- h3\n- h3-py\n- hvplot\n- ipygany\n- ipyleaflet &gt;=0.16.0\n- ipyvtklink\n- keplergl\n- laspy\n- leafmap &gt;=0.31.0\n- lidar\n- localtileserver &gt;=0.10.0\n- mapboxgl\n- mapclassify\n- mapwidget\n- movingpandas\n- netcdf4\n- odc-stac\n- osmnx\n- owslib\n- panel\n- palettable\n- pillow\n- planetary-computer\n- plotly\n- psycopg2\n- pydeck\n- pygis &gt;=0.6.0\n- pyntcloud\n- pysal\n- pyshp\n- pystac-client\n- python-mss\n- pyvista\n- radiant-mlhub\n- rasterio\n- rasterstats\n- rio-cogeo\n- rioxarray\n- s2cloudless\n- sarpy\n- satpy\n- sentinelsat\n- shapely\n- simplekml\n- sliderule\n- spyndex\n- sqlalchemy\n- stackstac\n- tropycal\n- usgs\n- whitebox\n- whiteboxgui\n- wxee\n- xarray\n- xarray-spatial\n- xee\n- xmovie\n- xyzservices</code></pre>"},{"location":"#suggestions-for-adding-packages-to-geospatial","title":"Suggestions for adding packages to geospatial\u00b6","text":"<p>If you would like to suggest new packages to be added to the geospatial stack, please follow the steps below:</p> <ol> <li><p>Check the Installed packages section to see if the suggested packages are listed. If they are already listed, then you can skip the following steps.</p> </li> <li><p>Search the suggested packages on conda-forge and make sure they can be found there. If not, that means the suggested packages are not available on conda-forge. If this is the case, then they cannot be added to the geospatial stack. Then you can skip the following step.</p> </li> <li><p>Leave the names of suggested packages on the geospatial GitHub repo if they meet the above requirements. I will then test the suggested packages and add them to the geospatial stack as appropriate.</p> </li> </ol>"},{"location":"#installed-packages","title":"Installed packages\u00b6","text":"<p>The complete list of Python packages that will be installed along with geospatial.</p>"},{"location":"changelog/","title":"Changelog","text":""},{"location":"changelog/#v090-jul-28-2023","title":"v0.9.0 - Jul 28, 2023","text":"<ul> <li>Fixed windows build error (#34)</li> <li>Removed gemgis (#32)</li> <li>Added Dockerfile and Docker Build Image workflow (#33)</li> </ul>"},{"location":"changelog/#v080-apr-24-2023","title":"v0.8.0 - Apr 24, 2023","text":"<p>Updated GitHub actions</p>"},{"location":"changelog/#v071-apr-23-2023","title":"v0.7.1 - Apr 23, 2023","text":"<p>Added simplekml and mapwidget</p>"},{"location":"changelog/#v070-nov-29-2022","title":"v0.7.0 - Nov 29, 2022","text":"<p>Removed some packages to make it easier to install on Colab.</p> <ul> <li>pygis</li> <li>tropycal</li> </ul>"},{"location":"changelog/#v061-jun-27-2022","title":"v0.6.1 - Jun 27, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>pygis</li> <li>tropycal</li> </ul>"},{"location":"changelog/#v056-apr-16-2022","title":"v0.5.6 - Apr 16, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>contextily</li> <li>sliderule</li> </ul>"},{"location":"changelog/#v055-apr-14-2022","title":"v0.5.5 - Apr 14, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>geocube</li> </ul>"},{"location":"changelog/#v054-apr-13-2022","title":"v0.5.4 - Apr 13, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>jupytext</li> </ul>"},{"location":"changelog/#v053-apr-13-2022","title":"v0.5.3 - Apr 13, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>cenpy</li> <li>h3</li> </ul>"},{"location":"changelog/#v052-apr-6-2022","title":"v0.5.2 - Apr 6, 2022","text":"<p>Removed pysal because it fails <code>pip check</code> on conda-forge</p>"},{"location":"changelog/#v051-apr-6-2022","title":"v0.5.1 - Apr 6, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>pysal</li> <li>odc-stac</li> </ul>"},{"location":"changelog/#v055-apr-5-2022","title":"v0.5.5 - Apr 5, 2022","text":"<p>Bring <code>requirements.txt</code> up to date.</p>"},{"location":"changelog/#v040-apr-5-2022","title":"v0.4.0 - Apr 5, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>earthengine-api</li> <li>easystac</li> <li>eemont</li> <li>eomaps</li> <li>geoalchemy2</li> <li>planetary-computer</li> <li>proplot</li> <li>radiant-mlhub</li> <li>s2cloudless</li> <li>spyndex</li> <li>stackstac</li> </ul>"},{"location":"changelog/#v031-apr-4-2022","title":"v0.3.1 - Apr 4, 2022","text":"<p>Added GemGIS, MovingPandas, EarthPy and SatPy</p>"},{"location":"changelog/#v030-apr-3-2022","title":"v0.3.0 - Apr 3, 2022","text":"<p>Initial release.</p>"},{"location":"contributing/","title":"Contributing","text":"<p>Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.</p> <p>You can contribute in many ways:</p>"},{"location":"contributing/#types-of-contributions","title":"Types of Contributions","text":""},{"location":"contributing/#report-bugs","title":"Report Bugs","text":"<p>Report bugs at https://github.com/opengeos/geospatial/issues.</p> <p>If you are reporting a bug, please include:</p> <ul> <li>Your operating system name and version.</li> <li>Any details about your local setup that might be helpful in troubleshooting.</li> <li>Detailed steps to reproduce the bug.</li> </ul>"},{"location":"contributing/#fix-bugs","title":"Fix Bugs","text":"<p>Look through the GitHub issues for bugs. Anything tagged with <code>bug</code> and <code>help wanted</code> is open to whoever wants to implement it.</p>"},{"location":"contributing/#implement-features","title":"Implement Features","text":"<p>Look through the GitHub issues for features. Anything tagged with <code>enhancement</code> and <code>help wanted</code> is open to whoever wants to implement it.</p>"},{"location":"contributing/#write-documentation","title":"Write Documentation","text":"<p>geospatial could always use more documentation, whether as part of the official geospatial docs, in docstrings, or even on the web in blog posts, articles, and such.</p>"},{"location":"contributing/#submit-feedback","title":"Submit Feedback","text":"<p>The best way to send feedback is to file an issue at https://github.com/opengeos/geospatial/issues.</p> <p>If you are proposing a feature:</p> <ul> <li>Explain in detail how it would work.</li> <li>Keep the scope as narrow as possible, to make it easier to implement.</li> <li>Remember that this is a volunteer-driven project, and that contributions are welcome :)</li> </ul>"},{"location":"contributing/#get-started","title":"Get Started!","text":"<p>Ready to contribute? Here's how to set up geospatial for local development.</p> <ol> <li> <p>Fork the geospatial repo on GitHub.</p> </li> <li> <p>Clone your fork locally:</p> <pre><code>$ git clone git@github.com:your_name_here/geospatial.git\n</code></pre> </li> <li> <p>Install your local copy into a virtualenv. Assuming you have     virtualenvwrapper installed, this is how you set up your fork for     local development:</p> <pre><code>$ mkvirtualenv geospatial\n$ cd geospatial/\n$ python setup.py develop\n</code></pre> </li> <li> <p>Create a branch for local development:</p> <pre><code>$ git checkout -b name-of-your-bugfix-or-feature\n</code></pre> <p>Now you can make your changes locally.</p> </li> <li> <p>When you're done making changes, check that your changes pass flake8     and the tests, including testing other Python versions with tox:</p> <pre><code>$ flake8 geospatial tests\n$ python setup.py test or pytest\n$ tox\n</code></pre> <p>To get flake8 and tox, just pip install them into your virtualenv.</p> </li> <li> <p>Commit your changes and push your branch to GitHub:</p> <pre><code>$ git add .\n$ git commit -m \"Your detailed description of your changes.\"\n$ git push origin name-of-your-bugfix-or-feature\n</code></pre> </li> <li> <p>Submit a pull request through the GitHub website.</p> </li> </ol>"},{"location":"contributing/#pull-request-guidelines","title":"Pull Request Guidelines","text":"<p>Before you submit a pull request, check that it meets these guidelines:</p> <ol> <li>The pull request should include tests.</li> <li>If the pull request adds functionality, the docs should be updated.     Put your new functionality into a function with a docstring, and add     the feature to the list in README.rst.</li> <li>The pull request should work for Python 3.5, 3.6, 3.7 and 3.8, and     for PyPy. Check https://github.com/opengeos/geospatial/pull_requests and make sure that the tests pass for all     supported Python versions.</li> </ol>"},{"location":"geospatial/","title":"geospatial module","text":"<p>Main module.</p>"},{"location":"installation/","title":"Installation","text":"<p>The geospatial package has many dependencies, such as GeoPandas and localtileserver. These optional dependencies can sometimes be a challenge to install, especially on Windows. Therefore, we advise you to closely follow the recommendations below to avoid installation problems.</p>"},{"location":"installation/#video-tutorial","title":"Video Tutorial","text":""},{"location":"installation/#installing-using-uv","title":"Installing using uv","text":"<p>uv is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install <code>geospatial</code> using <code>uv</code> as follows:</p> <pre><code>uv pip install geospatial\nuv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj\n</code></pre>"},{"location":"installation/#installing-with-anacondaminiconda","title":"Installing with Anaconda/Miniconda","text":"<p>To install geospatial and all its dependencies, we recommend you use the conda package manager. This can be obtained by installing the Anaconda Distribution (a free Python distribution for data science), or through Miniconda (minimal distribution only containing Python and the conda package manager). See also the installation docs for more information on how to install Anaconda or Miniconda locally.</p>"},{"location":"installation/#using-the-conda-forge-channel","title":"Using the conda-forge channel","text":"<p>Geospatial is available on the conda-forge channel, a community effort that provides conda packages for a wide range of software.</p> <pre><code>conda install -c conda-forge geospatial\n</code></pre>"},{"location":"installation/#creating-a-new-conda-environment","title":"Creating a new conda environment","text":"<p>Creating a new environment is not strictly necessary, but given that some geospatial dependencies might have a version conflict with other geospatial packages in an existing conda environment, it is a good practice to install geospatial and its dependencies in a clean environment starting fresh.</p> <p>The following commands create a new conda environment with the name <code>geo</code> and install geospatial and its dependencies (e.g., GeoPandas, localtileserver) in it:</p> <pre><code>conda create -n geo python=3.9\nconda activate geo\nconda install geopandas\nconda install geospatial -c conda-forge\n</code></pre> <p>Important note: If you are using Windows, we advise you to closely follow the installation instructions above to install GeoPandas from the default conda channel (<code>conda install geopandas</code>) rather than from the conda-forge channel. This can avoid a potential <code>spatialindex_c-64.dll</code> error when using GeoPandas (source). If you are using Linux or macOS, it is okay to install all geospatial dependencies from the conda-forge channel with the following command:</p> <pre><code>conda install -c conda-forge geospatial\n</code></pre>"},{"location":"installation/#using-mamba","title":"Using Mamba","text":"<p>When installing packages using the conda package manager, sometimes it can take a while for conda to resolve dependencies. If it takes too long or fails to resolve dependencies, you can try using the Mamba package manager to install geospatial and its dependencies. Mamba is a fast, robust, and cross-platform package manager. It runs on Windows, macOS, and Linux, and is fully compatible with conda packages and supports most of conda\u2019s commands. Once Mamba is installed in a conda environment, you can then simply replace any <code>conda</code> command with <code>mamba</code>. For example, to install geospatial and its dependencies with Mamba, you can use the following commands:</p> <pre><code>conda create -n geo python=3.9\nconda activate geo\nconda install -c conda-forge mamba\nmamba install geopandas\nmamba install -c conda-forge geospatial\n</code></pre>"},{"location":"installation/#installing-with-pip","title":"Installing with pip","text":"<p>geospatial is also available on PyPI. It can be installed with pip using the following command:</p> <pre><code>pip install geospatial\n</code></pre> <p>All optional dependencies of geospatial are listed in requirements_dev.txt.</p>"},{"location":"installation/#installing-from-source","title":"Installing from source","text":"<p>You may install the latest development version by cloning the GitHub repository with Git and using pip to install from the local directory:</p> <pre><code>git clone https://github.com/opengeos/geospatial.git\ncd geospatial\npip install .\n</code></pre> <p>It is also possible to install the latest development version directly from the GitHub repository with:</p> <pre><code>pip install git+https://github.com/opengeos/geospatial.git\n</code></pre>"},{"location":"installation/#using-docker","title":"Using Docker","text":"<p>If you are familiar with Docker, you can use the following command to pull the latest geospatial image from the GitHub Container Registry</p> <pre><code>docker pull ghcr.io/opengeos/geospatial:latest\n</code></pre>"},{"location":"installation/#upgrading-geospatial","title":"Upgrading geospatial","text":"<p>If you have installed geospatial before and want to upgrade to the latest version, you can run the following command in your terminal:</p> <pre><code>pip install -U geospatial\n</code></pre> <p>If you use conda, you can update geospatial to the latest version by running the following command in your terminal:</p> <pre><code>conda update -c conda-forge geospatial\n</code></pre>"},{"location":"usage/","title":"Usage","text":"<p>Currently, the <code>geospatial</code> package only helps you install commonly used packages for geospatial analysis and data visualization with only one command, making it easier to set up a conda environment for geospatial analysis and avoid dependency conflicts during installation. The <code>geospatial</code> package itself does not have any meaningful functions yet. After installation, you can continue to the commonly used geospatial packages as usual. For example:</p> <pre><code>import leafmap\nm = leafmap.Map()\nm\n</code></pre>"}]}
\ No newline at end of file
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   23.1.0\r\nargon2-cffi-bindings            21.2.0\r\narrow                           1.3.0\r\nasciitree                       0.3.3\r\nasgiref                         3.8.1\r\nasttokens                       2.4.1\r\nasync-lru                       2.0.4\r\nattrs                           24.2.0\r\nazure-core                      1.31.0\r\nazure-storage-blob              12.23.0\r\nazure-storage-file-datalake     12.17.0\r\nbabel                           2.16.0\r\nbeautifulsoup4                  4.12.3\r\nblack                           24.8.0\r\nbleach                          6.1.0\r\nblinker                         1.8.2\r\nbokeh                           3.4.3\r\nboto3                           1.35.23\r\nbotocore                        1.35.23\r\nbounded-pool-executor           0.0.3\r\nbqplot                          0.12.43\r\nbranca                          0.7.2\r\nBrotli                          1.1.0\r\nbump2version                    1.0.1\r\ncachelib                     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1.4.1\r\nimportlib_metadata              8.5.0\r\nimportlib_resources             6.4.5\r\ninequality                      1.0.0\r\niniconfig                       2.0.0\r\nipyevents                       2.0.2\r\nipyfilechooser                  0.6.0\r\nipygany                         0.5.0\r\nipykernel                       6.29.5\r\nipyleaflet                      0.19.2\r\nipynb-py-convert                0.4.6\r\nipython                         8.18.0\r\nipython-genutils                0.2.0\r\nipytree                         0.2.2\r\nipyvue                          1.11.1\r\nipyvuetify                      1.10.0\r\nipywidgets                      7.8.4\r\nisodate                         0.6.1\r\nisoduration                     20.11.0\r\nitsdangerous                    2.2.0\r\njaraco.classes                  3.4.0\r\njaraco.context                  6.0.1\r\njaraco.functools                4.0.2\r\njedi                            0.19.1\r\njeepney                         0.8.0\r\nJinja2                          3.1.4\r\njmespath                        1.0.1\r\njoblib                          1.4.2\r\njsbeautifier                    1.15.1\r\njson5                           0.9.25\r\n</pre> <pre>jsonpointer                     3.0.0\r\njsonschema                      4.23.0\r\njsonschema-specifications       2023.12.1\r\njupyter_client                  8.6.3\r\njupyter_core                    5.7.2\r\njupyter-events                  0.10.0\r\njupyter-leaflet                 0.19.2\r\njupyter-lsp                     2.2.5\r\njupyter_server                  2.14.2\r\njupyter_server_terminals        0.5.3\r\njupyterlab                      4.2.5\r\njupyterlab_pygments             0.3.0\r\njupyterlab_server               2.27.3\r\njupyterlab_widgets              1.1.10\r\njupytext                        1.16.4\r\nkeplergl                        0.3.2\r\nkeyring                         25.4.1\r\nkiwisolver                      1.4.7\r\nlaspy                           2.5.4\r\nlazy_loader                     0.4\r\nleafmap                         0.38.0\r\nlibpysal                        4.8.1\r\nlightgbm                        4.5.0\r\nlinkify-it-py                   2.0.3\r\nlivereload                      2.7.0\r\nllvmlite                        0.43.0\r\nlocaltileserver                 0.10.3\r\nlocket                          1.0.0\r\nlogzero                         1.7.0\r\nlonboard                        0.9.3\r\nlxml                            5.3.0\r\nlz4                             4.3.3\r\nmapboxgl                        0.10.2\r\nmapclassify                     2.8.0\r\nmaplibre                        0.2.6\r\nmapwidget                       0.1.2\r\nMarkdown                        3.7\r\nmarkdown-callouts               0.4.0\r\nmarkdown-it-py                  3.0.0\r\nMarkupSafe                      2.1.5\r\nmarshmallow                     3.22.0\r\nmatplotlib                      3.9.2\r\nmatplotlib-inline               0.1.7\r\nmccabe                          0.7.0\r\nmdit-py-plugins                 0.4.2\r\nmdurl                           0.1.2\r\nmercantile                      1.2.1\r\nmergedeep                       1.3.4\r\nmethodtools                     0.4.7\r\nmgwr                            2.2.1\r\nmistune                         3.0.2\r\nmkdocs                          1.6.1\r\nmkdocs-autorefs                 1.2.0\r\nmkdocs-get-deps                 0.2.0\r\nmkdocs-git-revision-date-plugin 0.3.2\r\nmkdocs-jupyter                  0.25.0\r\nmkdocs-material                 9.5.36\r\nmkdocs-material-extensions      1.3.1\r\nmkdocs-pdf-export-plugin        0.5.10\r\nmkdocstrings                    0.26.1\r\nmkdocstrings-crystal            0.3.7\r\nmkdocstrings-python-legacy      0.2.4\r\nmomepy                          0.6.0\r\nmore-itertools                  10.5.0\r\nmorecantile                     5.4.2\r\nmovingpandas                    0.19.0\r\nmpmath                          1.3.0\r\nmsgpack                         1.1.0\r\nmss                             9.0.2\r\nmultidict                       6.1.0\r\nmultimethod                     1.12\r\nmultipledispatch                1.0.0\r\nmypy-extensions                 1.0.0\r\nnbclient                        0.10.0\r\nnbconvert                       7.16.4\r\nnbformat                        5.10.4\r\nnest-asyncio                    1.6.0\r\nnetCDF4                         1.7.1.post2\r\nnetworkx                        3.2.1\r\nnh3                             0.2.18\r\nnotebook                        7.2.2\r\nnotebook_shim                   0.2.4\r\nnumba                           0.60.0\r\nnumcodecs                       0.12.1\r\nnumexpr                         2.10.1\r\nnumpy                           1.26.4\r\noauthlib                        3.2.2\r\nodc-geo                         0.4.8\r\nodc-stac                        0.3.10\r\nopencv-python-headless          4.10.0.84\r\nosmnx                           1.9.3\r\noverrides                       7.7.0\r\noverturemaps                    0.9.0\r\nOWSLib                          0.31.0\r\npackaging                       24.1\r\npaginate                        0.5.7\r\npalettable                      3.3.3\r\npandas                          2.2.3\r\npandocfilters                   1.5.1\r\npanel                           1.4.5\r\nparam                           2.1.1\r\nparso                           0.8.4\r\npartd                           1.4.2\r\npath-and-address                2.0.1\r\npathspec                        0.12.1\r\npatsy                           0.5.6\r\npexpect                         4.9.0\r\npillow                          10.4.0\r\npip                             24.2\r\npkginfo                         1.10.0\r\nplanetary-computer              1.0.0\r\nplatformdirs                    4.3.6\r\nplotly                          5.24.1\r\npluggy                          1.5.0\r\npointpats                       2.4.0\r\npooch                           1.8.2\r\npqdm                            0.2.0\r\nprometheus_client               0.21.0\r\nprompt-toolkit                  3.0.36\r\nproto-plus                      1.24.0\r\nprotobuf                        5.28.2\r\npsutil                          6.0.0\r\npsygnal                         0.11.1\r\nptyprocess                      0.7.0\r\nPuLP                            2.9.0\r\npure_eval                       0.2.3\r\npy                              1.11.0\r\npyarrow                         17.0.0\r\npyarrow-hotfix                  0.6\r\npyasn1                          0.6.1\r\npyasn1_modules                  0.4.1\r\npycodestyle                     2.12.1\r\npycparser                       2.22\r\nPyCRS                           1.0.2\r\npyct                            0.5.0\r\npydantic                        2.9.2\r\npydantic_core                   2.23.4\r\npydeck                          0.9.1\r\npydyf                           0.11.0\r\npyflakes                        3.2.0\r\npygis                           0.7.0\r\nPygments                        2.18.0\r\npykdtree                        1.3.13\r\npymdown-extensions              10.10.1\r\npyntcloud                       0.3.1\r\npyogrio                         0.9.0\r\npyorbital                       1.8.3\r\npyparsing                       3.1.4\r\npyperclip                       1.9.0\r\npyphen                          0.16.0\r\npyproj                          3.6.1\r\npyproject-api                   1.8.0\r\npyresample                      1.30.0\r\npysal                           24.1\r\npyshp                           2.3.1\r\nPySocks                         1.7.1\r\npystac                          1.10.1\r\npystac-client                   0.8.3\r\npytest                          8.3.3\r\npython-box                      7.2.0\r\npython-cmr                      0.13.0\r\npython-dateutil                 2.9.0.post0\r\npython-dotenv                   1.0.1\r\npython-json-logger              2.0.7\r\npython-multipart                0.0.10\r\npytkdocs                        0.16.2\r\npytz                            2024.2\r\npyviz_comms                     3.0.3\r\nPyYAML                          6.0.2\r\npyyaml_env_tag                  0.1\r\npyzmq                           26.2.0\r\nquantecon                       0.7.2\r\nquestionary                     2.0.1\r\nradiant-mlhub                   0.4.1\r\nrasterio                        1.3.11\r\nrasterstats                     0.19.0\r\nratelim                         0.1.6\r\nreadme_renderer                 44.0\r\nreferencing                     0.35.1\r\nregex                           2024.9.11\r\nrequests                        2.32.3\r\nrequests-futures                1.0.1\r\nrequests-oauthlib               2.0.0\r\nrequests-toolbelt               1.0.0\r\nretry                           0.9.2\r\nrfc3339-validator               0.1.4\r\nrfc3986                         2.0.0\r\nrfc3986-validator               0.1.1\r\nrich                            13.8.1\r\nrio-cogeo                       5.3.4\r\nrio-tiler                       6.7.0\r\nrioxarray                       0.15.0\r\nrpds-py                         0.20.0\r\nrsa                             4.9\r\nRtree                           1.3.0\r\ns2cloudless                     1.7.1\r\ns3fs                            2024.9.0\r\ns3transfer                      0.10.2\r\nsankee                          0.2.5\r\nsarpy                           1.3.58\r\nsatpy                           0.51.0\r\nscikit-image                    0.24.0\r\nscikit-learn                    1.5.2\r\nscipy                           1.13.1\r\nscooby                          0.10.0\r\nseaborn                         0.13.2\r\nSecretStorage                   3.3.3\r\nsegregation                     2.5\r\nSend2Trash                      1.8.3\r\nsentinelhub                     3.10.0\r\nsentinelsat                     1.2.1\r\nsertit                          1.42.0\r\nserver-thread                   0.2.0\r\nsetuptools                      75.1.0\r\nshapely                         2.0.6\r\nshiny                           1.1.0\r\nsimplejson                      3.19.3\r\nsimplekml                       1.3.6\r\nsix                             1.16.0\r\nsliderule                       4.6.4\r\nsmmap                           5.0.1\r\nsniffio                         1.3.1\r\nsnowballstemmer                 2.2.0\r\nsnuggs                          1.4.7\r\nsortedcontainers                2.4.0\r\nsoupsieve                       2.6\r\nspaghetti                       1.7.4\r\nspglm                           1.1.0\r\nSphinx                          8.0.2\r\nsphinxcontrib-applehelp         2.0.0\r\nsphinxcontrib-devhelp           2.0.0\r\nsphinxcontrib-htmlhelp          2.1.0\r\nsphinxcontrib-jsmath            1.0.1\r\nsphinxcontrib-qthelp            2.0.0\r\nsphinxcontrib-serializinghtml   2.0.0\r\nspint                           1.0.7\r\nsplot                           1.1.7\r\nspopt                           0.5.0\r\nspreg                           1.6.1\r\nspvcm                           0.3.0\r\nspyndex                         0.6.0\r\nSQLAlchemy                      2.0.35\r\nstack-data                      0.6.3\r\nstackstac                       0.5.1\r\nstarlette                       0.38.6\r\nstatsmodels                     0.14.3\r\nsympy                           1.13.3\r\ntabulate                        0.9.0\r\ntblib                           3.0.0\r\ntenacity                        9.0.0\r\ntermcolor                       2.4.0\r\nterminado                       0.18.1\r\nthreadpoolctl                   3.5.0\r\ntifffile                        2024.8.30\r\ntinycss2                        1.3.0\r\ntinynetrc                       1.3.1\r\ntobler                          0.11.3\r\ntokenize-rt                     6.0.0\r\ntomli                           2.0.1\r\ntomli_w                         1.0.0\r\ntoolz                           0.12.1\r\ntornado                         6.4.1\r\ntox                             4.20.0\r\ntqdm                            4.66.5\r\ntraitlets                       5.14.3\r\ntraittypes                      0.2.1\r\ntrollimage                      1.25.0\r\ntrollsift                       0.5.1\r\ntwine                           5.1.1\r\ntypes-python-dateutil           2.9.0.20240906\r\ntyping_extensions               4.12.2\r\ntyping-inspect                  0.9.0\r\ntzdata                          2024.1\r\nuc-micro-py                     1.0.3\r\nuri-template                    1.3.0\r\nuritemplate                     4.1.1\r\nurllib3                         1.26.20\r\nusgs                            0.3.5\r\nutm                             0.7.0\r\nuvicorn                         0.30.6\r\nvalidators                      0.34.0\r\nvirtualenv                      20.26.5\r\nwatchdog                        5.0.2\r\nwatchfiles                      0.24.0\r\nwcwidth                         0.2.13\r\nweasyprint                      62.3\r\nwebcolors                       24.8.0\r\nwebencodings                    0.5.1\r\nwebsocket-client                1.8.0\r\nwebsockets                      13.1\r\nWerkzeug                        3.0.4\r\nwheel                           0.44.0\r\nwhitebox                        2.3.5\r\nwhiteboxgui                     2.3.0\r\nwidgetsnbextension              3.6.9\r\nwirerope                        0.4.7\r\nwrapt                           1.16.0\r\nwxee                            0.4.2\r\nxarray                          2024.7.0\r\nxarray-spatial                  0.4.0\r\nxee                             0.0.15\r\nxyzservices                     2024.9.0\r\nyarl                            1.11.1\r\nzarr                            2.12.0\r\nzict                            3.0.0\r\nzipp                            3.20.2\r\nzopfli                          0.2.3\r\n</pre>"},{"location":"#welcome-to-geospatial","title":"Welcome to geospatial\u00b6","text":"<p>A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.</p> <ul> <li>Free software: MIT license</li> <li>Documentation: https://geospatial.gishub.org</li> </ul>"},{"location":"#disclaimer","title":"Disclaimer\u00b6","text":"<p>Currently, the <code>geospatial</code> package only helps you install commonly used packages for geospatial analysis and data visualization with only one command, making it easier to set up a conda environment for geospatial analysis and avoid dependency conflicts during installation. The <code>geospatial</code> package itself does not have any meaningful functions yet. After installation, you can continue to the commonly used geospatial packages as usual.</p>"},{"location":"#installation","title":"Installation\u00b6","text":""},{"location":"#uv","title":"uv\u00b6","text":"<p>uv is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install <code>geospatial</code> using <code>uv</code> as follows:</p> <pre>uv pip install geospatial\nuv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj\n</pre>"},{"location":"#mamba","title":"Mamba\u00b6","text":"<p>Installing commonly used packages for geospatial analysis and data visualization with only one command.</p> <pre>mamba install -c conda-forge geospatial\n</pre>"},{"location":"#video-tutorial","title":"Video Tutorial\u00b6","text":""},{"location":"#conda-forge-recipe","title":"Conda-forge recipe\u00b6","text":"<p>The recipe of the geospatial Python package on the conda-forge channel:</p> <pre><code>- python &gt;=3.9\n- apache-sedona\n- bokeh\n- cartopy\n- cenpy\n- contextily\n- cubo\n- dask-geopandas\n- datashader\n- earthaccess\n- earthengine-api\n- earthpy\n- easystac\n- eemont\n- eomaps\n- eoreader\n- fiona\n- folium &gt;=0.12.1\n- geemap &gt;=0.30.4\n- geoalchemy2\n- geocube\n- geopandas &gt;=0.10.2\n- geotiff\n- geosnap\n- geoviews\n- h3\n- h3-py\n- hvplot\n- ipygany\n- ipyleaflet &gt;=0.16.0\n- ipyvtklink\n- keplergl\n- laspy\n- leafmap &gt;=0.31.0\n- lidar\n- localtileserver &gt;=0.10.0\n- mapboxgl\n- mapclassify\n- mapwidget\n- movingpandas\n- netcdf4\n- odc-stac\n- osmnx\n- owslib\n- panel\n- palettable\n- pillow\n- planetary-computer\n- plotly\n- psycopg2\n- pydeck\n- pygis &gt;=0.6.0\n- pyntcloud\n- pysal\n- pyshp\n- pystac-client\n- python-mss\n- pyvista\n- radiant-mlhub\n- rasterio\n- rasterstats\n- rio-cogeo\n- rioxarray\n- s2cloudless\n- sarpy\n- satpy\n- sentinelsat\n- shapely\n- simplekml\n- sliderule\n- spyndex\n- sqlalchemy\n- stackstac\n- tropycal\n- usgs\n- whitebox\n- whiteboxgui\n- wxee\n- xarray\n- xarray-spatial\n- xee\n- xmovie\n- xyzservices</code></pre>"},{"location":"#suggestions-for-adding-packages-to-geospatial","title":"Suggestions for adding packages to geospatial\u00b6","text":"<p>If you would like to suggest new packages to be added to the geospatial stack, please follow the steps below:</p> <ol> <li><p>Check the Installed packages section to see if the suggested packages are listed. If they are already listed, then you can skip the following steps.</p> </li> <li><p>Search the suggested packages on conda-forge and make sure they can be found there. If not, that means the suggested packages are not available on conda-forge. If this is the case, then they cannot be added to the geospatial stack. Then you can skip the following step.</p> </li> <li><p>Leave the names of suggested packages on the geospatial GitHub repo if they meet the above requirements. I will then test the suggested packages and add them to the geospatial stack as appropriate.</p> </li> </ol>"},{"location":"#installed-packages","title":"Installed packages\u00b6","text":"<p>The complete list of Python packages that will be installed along with geospatial.</p>"},{"location":"changelog/","title":"Changelog","text":""},{"location":"changelog/#v090-jul-28-2023","title":"v0.9.0 - Jul 28, 2023","text":"<ul> <li>Fixed windows build error (#34)</li> <li>Removed gemgis (#32)</li> <li>Added Dockerfile and Docker Build Image workflow (#33)</li> </ul>"},{"location":"changelog/#v080-apr-24-2023","title":"v0.8.0 - Apr 24, 2023","text":"<p>Updated GitHub actions</p>"},{"location":"changelog/#v071-apr-23-2023","title":"v0.7.1 - Apr 23, 2023","text":"<p>Added simplekml and mapwidget</p>"},{"location":"changelog/#v070-nov-29-2022","title":"v0.7.0 - Nov 29, 2022","text":"<p>Removed some packages to make it easier to install on Colab.</p> <ul> <li>pygis</li> <li>tropycal</li> </ul>"},{"location":"changelog/#v061-jun-27-2022","title":"v0.6.1 - Jun 27, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>pygis</li> <li>tropycal</li> </ul>"},{"location":"changelog/#v056-apr-16-2022","title":"v0.5.6 - Apr 16, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>contextily</li> <li>sliderule</li> </ul>"},{"location":"changelog/#v055-apr-14-2022","title":"v0.5.5 - Apr 14, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>geocube</li> </ul>"},{"location":"changelog/#v054-apr-13-2022","title":"v0.5.4 - Apr 13, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>jupytext</li> </ul>"},{"location":"changelog/#v053-apr-13-2022","title":"v0.5.3 - Apr 13, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>cenpy</li> <li>h3</li> </ul>"},{"location":"changelog/#v052-apr-6-2022","title":"v0.5.2 - Apr 6, 2022","text":"<p>Removed pysal because it fails <code>pip check</code> on conda-forge</p>"},{"location":"changelog/#v051-apr-6-2022","title":"v0.5.1 - Apr 6, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>pysal</li> <li>odc-stac</li> </ul>"},{"location":"changelog/#v055-apr-5-2022","title":"v0.5.5 - Apr 5, 2022","text":"<p>Bring <code>requirements.txt</code> up to date.</p>"},{"location":"changelog/#v040-apr-5-2022","title":"v0.4.0 - Apr 5, 2022","text":"<p>Added the folloowing packages:</p> <ul> <li>earthengine-api</li> <li>easystac</li> <li>eemont</li> <li>eomaps</li> <li>geoalchemy2</li> <li>planetary-computer</li> <li>proplot</li> <li>radiant-mlhub</li> <li>s2cloudless</li> <li>spyndex</li> <li>stackstac</li> </ul>"},{"location":"changelog/#v031-apr-4-2022","title":"v0.3.1 - Apr 4, 2022","text":"<p>Added GemGIS, MovingPandas, EarthPy and SatPy</p>"},{"location":"changelog/#v030-apr-3-2022","title":"v0.3.0 - Apr 3, 2022","text":"<p>Initial release.</p>"},{"location":"contributing/","title":"Contributing","text":"<p>Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.</p> <p>You can contribute in many ways:</p>"},{"location":"contributing/#types-of-contributions","title":"Types of Contributions","text":""},{"location":"contributing/#report-bugs","title":"Report Bugs","text":"<p>Report bugs at https://github.com/opengeos/geospatial/issues.</p> <p>If you are reporting a bug, please include:</p> <ul> <li>Your operating system name and version.</li> <li>Any details about your local setup that might be helpful in troubleshooting.</li> <li>Detailed steps to reproduce the bug.</li> </ul>"},{"location":"contributing/#fix-bugs","title":"Fix Bugs","text":"<p>Look through the GitHub issues for bugs. Anything tagged with <code>bug</code> and <code>help wanted</code> is open to whoever wants to implement it.</p>"},{"location":"contributing/#implement-features","title":"Implement Features","text":"<p>Look through the GitHub issues for features. Anything tagged with <code>enhancement</code> and <code>help wanted</code> is open to whoever wants to implement it.</p>"},{"location":"contributing/#write-documentation","title":"Write Documentation","text":"<p>geospatial could always use more documentation, whether as part of the official geospatial docs, in docstrings, or even on the web in blog posts, articles, and such.</p>"},{"location":"contributing/#submit-feedback","title":"Submit Feedback","text":"<p>The best way to send feedback is to file an issue at https://github.com/opengeos/geospatial/issues.</p> <p>If you are proposing a feature:</p> <ul> <li>Explain in detail how it would work.</li> <li>Keep the scope as narrow as possible, to make it easier to implement.</li> <li>Remember that this is a volunteer-driven project, and that contributions are welcome :)</li> </ul>"},{"location":"contributing/#get-started","title":"Get Started!","text":"<p>Ready to contribute? Here's how to set up geospatial for local development.</p> <ol> <li> <p>Fork the geospatial repo on GitHub.</p> </li> <li> <p>Clone your fork locally:</p> <pre><code>$ git clone git@github.com:your_name_here/geospatial.git\n</code></pre> </li> <li> <p>Install your local copy into a virtualenv. Assuming you have     virtualenvwrapper installed, this is how you set up your fork for     local development:</p> <pre><code>$ mkvirtualenv geospatial\n$ cd geospatial/\n$ python setup.py develop\n</code></pre> </li> <li> <p>Create a branch for local development:</p> <pre><code>$ git checkout -b name-of-your-bugfix-or-feature\n</code></pre> <p>Now you can make your changes locally.</p> </li> <li> <p>When you're done making changes, check that your changes pass flake8     and the tests, including testing other Python versions with tox:</p> <pre><code>$ flake8 geospatial tests\n$ python setup.py test or pytest\n$ tox\n</code></pre> <p>To get flake8 and tox, just pip install them into your virtualenv.</p> </li> <li> <p>Commit your changes and push your branch to GitHub:</p> <pre><code>$ git add .\n$ git commit -m \"Your detailed description of your changes.\"\n$ git push origin name-of-your-bugfix-or-feature\n</code></pre> </li> <li> <p>Submit a pull request through the GitHub website.</p> </li> </ol>"},{"location":"contributing/#pull-request-guidelines","title":"Pull Request Guidelines","text":"<p>Before you submit a pull request, check that it meets these guidelines:</p> <ol> <li>The pull request should include tests.</li> <li>If the pull request adds functionality, the docs should be updated.     Put your new functionality into a function with a docstring, and add     the feature to the list in README.rst.</li> <li>The pull request should work for Python 3.5, 3.6, 3.7 and 3.8, and     for PyPy. Check https://github.com/opengeos/geospatial/pull_requests and make sure that the tests pass for all     supported Python versions.</li> </ol>"},{"location":"geospatial/","title":"geospatial module","text":"<p>Main module.</p>"},{"location":"installation/","title":"Installation","text":"<p>The geospatial package has many dependencies, such as GeoPandas and localtileserver. These optional dependencies can sometimes be a challenge to install, especially on Windows. Therefore, we advise you to closely follow the recommendations below to avoid installation problems.</p>"},{"location":"installation/#video-tutorial","title":"Video Tutorial","text":""},{"location":"installation/#installing-using-uv","title":"Installing using uv","text":"<p>uv is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install <code>geospatial</code> using <code>uv</code> as follows:</p> <pre><code>uv pip install geospatial\n</code></pre> <p>If you are on Linux and want to install GDAL, you can use the following command:</p> <pre><code>uv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj\n</code></pre> <p>For windows and macOS users, you can install GDAL using mamba as shown in the following section.</p>"},{"location":"installation/#installing-using-conda","title":"Installing using conda","text":"<p>To install geospatial and all its dependencies, we recommend you use the mamba package manager. This can be obtained by installing the Anaconda Distribution (a free Python distribution for data science), or through Miniconda (minimal distribution only containing Python and the conda package manager).</p> <pre><code>conda create -n geo python\nconda activate geo\nconda install -c conda-forge mamba\nmamba install -c conda-forge geospatial\n</code></pre>"},{"location":"installation/#installing-using-pip","title":"Installing using pip","text":"<p>geospatial is also available on PyPI. It can be installed with pip using the following command:</p> <pre><code>pip install geospatial\n</code></pre> <p>All optional dependencies of geospatial are listed in requirements_dev.txt.</p>"},{"location":"installation/#installing-from-source","title":"Installing from source","text":"<p>You may install the latest development version by cloning the GitHub repository with Git and using pip to install from the local directory:</p> <pre><code>git clone https://github.com/opengeos/geospatial.git\ncd geospatial\npip install .\n</code></pre> <p>It is also possible to install the latest development version directly from the GitHub repository with:</p> <pre><code>pip install git+https://github.com/opengeos/geospatial.git\n</code></pre>"},{"location":"installation/#using-docker","title":"Using Docker","text":"<p>If you are familiar with Docker, you can use the following command to pull the latest geospatial image from the GitHub Container Registry</p> <pre><code>docker pull ghcr.io/opengeos/geospatial:latest\n</code></pre>"},{"location":"installation/#upgrading-geospatial","title":"Upgrading geospatial","text":"<p>If you have installed geospatial before and want to upgrade to the latest version, you can run the following command in your terminal:</p> <pre><code>pip install -U geospatial\n</code></pre> <p>If you use conda, you can update geospatial to the latest version by running the following command in your terminal:</p> <pre><code>conda update -c conda-forge geospatial\n</code></pre>"},{"location":"usage/","title":"Usage","text":"<p>Currently, the <code>geospatial</code> package only helps you install commonly used packages for geospatial analysis and data visualization with only one command, making it easier to set up a conda environment for geospatial analysis and avoid dependency conflicts during installation. The <code>geospatial</code> package itself does not have any meaningful functions yet. After installation, you can continue to the commonly used geospatial packages as usual. For example:</p> <pre><code>import leafmap\nm = leafmap.Map()\nm\n</code></pre>"}]}
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