Update documentation

Author: spatialthoughts

_sources/notebooks/xee_calculating_spi.ipynb

@@ -10,7 +10,7 @@
         "\n",
         "## **Overview**\n",
         "\n",
-        "One of the key advantages of [XEE](https://github.com/google/Xee) package is the ability to use Python packages to work with data from Google Earth Engine. This allows you to easily extract data from the vast data catalog of GEE and use widely used implementations available as Python libraries. This notebook shows how to extract a precipitation time-series images from Earth Engine and then use the [Climate Indicies](https://climate-indices.readthedocs.io/en/latest/) Python package to calculate the Calculating Standardized Precipitation (SPI)."
+        "One of the key advantages of the [XEE](https://github.com/google/Xee) package is the ability to use Python packages to work with data from Google Earth Engine. This package allows you to easily extract data from the vast data catalog of GEE and use widely used implementations available as Python libraries. This notebook shows how to extract a precipitation time-series images from Earth Engine and then use the [Climate Indicies](https://climate-indices.readthedocs.io/en/latest/) Python package to calculate the Calculating Standardized Precipitation (SPI)."
       ]
     },
     {

notebooks/xee_calculating_spi.html

@@ -466,7 +466,7 @@ <h2> Contents </h2>
 <h1>Calculating Standardized Precipitation Index (SPI)<a class="headerlink" href="#calculating-standardized-precipitation-index-spi" title="Link to this heading">#</a></h1>
 <section id="overview">
 <h2><strong>Overview</strong><a class="headerlink" href="#overview" title="Link to this heading">#</a></h2>
-<p>One of the key advantages of <a class="reference external" href="https://github.com/google/Xee">XEE</a> package is the ability to use Python packages to work with data from Google Earth Engine. This allows you to easily extract data from the vast data catalog of GEE and use widely used implementations available as Python libraries. This notebook shows how to extract a precipitation time-series images from Earth Engine and then use the <a class="reference external" href="https://climate-indices.readthedocs.io/en/latest/">Climate Indicies</a> Python package to calculate the Calculating Standardized Precipitation (SPI).</p>
+<p>One of the key advantages of the <a class="reference external" href="https://github.com/google/Xee">XEE</a> package is the ability to use Python packages to work with data from Google Earth Engine. This package allows you to easily extract data from the vast data catalog of GEE and use widely used implementations available as Python libraries. This notebook shows how to extract a precipitation time-series images from Earth Engine and then use the <a class="reference external" href="https://climate-indices.readthedocs.io/en/latest/">Climate Indicies</a> Python package to calculate the Calculating Standardized Precipitation (SPI).</p>
 </section>
 <section id="setup-and-data-download">
 <h2>Setup and Data Download<a class="headerlink" href="#setup-and-data-download" title="Link to this heading">#</a></h2>