Deployed 09dbe78 with MkDocs version: 1.6.1

index.html

@@ -1137,7 +1137,7 @@ <h1 id="welcome-to-geospatial">Welcome to geospatial<a class="anchor-link" href=
 <li>Documentation: <a href="https://geospatial.gishub.org">https://geospatial.gishub.org</a></li>
 </ul>
 <h2 id="disclaimer">Disclaimer<a class="anchor-link" href="#disclaimer">¶</a></h2><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>
-<h2 id="installation">Installation<a class="anchor-link" href="#installation">¶</a></h2><h3 id="uv">uv<a class="anchor-link" href="#uv">¶</a></h3><p><a href="https://docs.astral.sh/uv/">uv</a> us 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>
+<h2 id="installation">Installation<a class="anchor-link" href="#installation">¶</a></h2><h3 id="uv">uv<a class="anchor-link" href="#uv">¶</a></h3><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"><pre><span></span>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
 </pre></div>
@@ -1398,7 +1398,13 @@ <h2 id="installed-packages">Installed packages<a class="anchor-link" href="#inst
 docopt                          0.6.2
 docutils                        0.21.2
 donfig                          0.8.1.post1
-duckdb                          1.1.0
+</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>duckdb                          1.1.0
 earthaccess                     0.10.0
 earthengine-api                 1.1.0
 earthpy                         0.9.4
@@ -1442,13 +1448,7 @@ <h2 id="installed-packages">Installed packages<a class="anchor-link" href="#inst
 geographiclib                   2.0
 geojson                         3.1.0
 geomet                          1.1.0
-</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>geopandas                       1.0.1
+geopandas                       1.0.1
 geopy                           2.4.1
 geospatial                      0.11.0         /home/runner/work/geospatial/geospatial
 geotiff                         0.2.10

index.ipynb

@@ -31,7 +31,7 @@
     "\n",
     "### uv\n",
     "\n",
-    "[uv](https://docs.astral.sh/uv/) us 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:\n",
+    "[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:\n",
     "\n",
     "```bash\n",
     "uv pip install geospatial\n",

installation/index.html

@@ -332,6 +332,21 @@
     </span>
   </a>
 
+    <nav class="md-nav" aria-label="Video Tutorial">
+      <ul class="md-nav__list">
+
+          <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">
@@ -596,6 +611,21 @@
     </span>
   </a>
 
+    <nav class="md-nav" aria-label="Video Tutorial">
+      <ul class="md-nav__list">
+
+          <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">
@@ -701,6 +731,12 @@ <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>
+<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>
@@ -780,7 +816,7 @@ <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>
-    2024-02-02
+    2024-09-22
   </span>
 
 

installation/installation.md

@@ -6,6 +6,15 @@ 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
+
+[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.

sitemap.xml

@@ -2,26 +2,26 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
     <url>
          <loc>https://opengeos.github.io/geospatial/</loc>
-         <lastmod>2024-09-22</lastmod>
+         <lastmod>2024-09-23</lastmod>
     </url>
     <url>
          <loc>https://opengeos.github.io/geospatial/changelog/</loc>
-         <lastmod>2024-09-22</lastmod>
+         <lastmod>2024-09-23</lastmod>
     </url>
     <url>
          <loc>https://opengeos.github.io/geospatial/contributing/</loc>
-         <lastmod>2024-09-22</lastmod>
+         <lastmod>2024-09-23</lastmod>
     </url>
     <url>
          <loc>https://opengeos.github.io/geospatial/geospatial/</loc>
-         <lastmod>2024-09-22</lastmod>
+         <lastmod>2024-09-23</lastmod>
     </url>
     <url>
          <loc>https://opengeos.github.io/geospatial/installation/</loc>
-         <lastmod>2024-09-22</lastmod>
+         <lastmod>2024-09-23</lastmod>
     </url>
     <url>
          <loc>https://opengeos.github.io/geospatial/usage/</loc>
-         <lastmod>2024-09-22</lastmod>
+         <lastmod>2024-09-23</lastmod>
     </url>
 </urlset>