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2 changes: 1 addition & 1 deletion .nojekyll
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19 changes: 14 additions & 5 deletions index.html
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<link href="site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light"><meta charset="utf-8">
<meta name="generator" content="pandoc">
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
<title>NASA TOPS-T: Cloud Native Geospatial in R &amp; Python</title>
<title>Cloud Native Geospatial in R &amp; Python</title>
<style>
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
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<div class="container">
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<div class="col-lg-8 text-center mx-auto my-auto">
<h1 class="text-white">NASA TOPS-T: Cloud Native Geospatial in R &amp; Python</h1>
<h1 class="text-white">Cloud Native Geospatial in R &amp; Python</h1>
<p class="lead mb-4 text-white opacity-8"></p>
</div>
</div>
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<ul id="quarto-sidebar-section-2" class="collapse list-unstyled sidebar-section depth1 show">
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./tutorials/python/intro-python.html" class="sidebar-item-text sidebar-link">
<a href="./tutorials/python/1-intro-python.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">Introduction</span></a>
</div>
</li>
<li class="sidebar-item">
<div class="sidebar-item-container">
<a href="./tutorials/python/2-xarray-without-download.html" class="sidebar-item-text sidebar-link">
<span class="menu-text">xarray without downloads</span></a>
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Expand Down Expand Up @@ -241,9 +247,12 @@ <h1 class="text-white">NASA TOPS-T: Cloud Native Geospatial in R &amp; Python</h
<div class="row">
<div class="col-12 mx-auto">
<p><img align="right" src="https://zenodo.org/record/7742997/files/Tops_Badge_Nasa.png" width="150" alt="Transform to Open Science Logo that shows a top as a rocket taking off and the text Transform to Open Science in the white vapor plume around the launch site"></p>
<p><a href="https://www.repostatus.org/#wip"><img src="https://www.repostatus.org/badges/latest/wip.svg" class="img-fluid" alt="Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public."></a> <a href="https://github.com/boettiger-lab/nasa-topst-env-justice/actions/workflows/docker-image.yml"><img src="https://github.com/boettiger-lab/nasa-topst-env-justice/actions/workflows/docker-image.yml/badge.svg" class="img-fluid" alt="Docker Image :whale2:"></a> <a href="https://codespaces.new/espm-157/nasa-topst-env-justice?quickstart=1"><img src="https://github.com/codespaces/badge.svg" class="img-fluid"></a></p>
<p><a href="https://www.repostatus.org/#wip"><img src="https://www.repostatus.org/badges/latest/wip.svg" class="img-fluid" alt="Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public."></a> <a href="https://github.com/boettiger-lab/nasa-topst-env-justice/actions/workflows/docker-image.yml"><img src="https://github.com/boettiger-lab/nasa-topst-env-justice/actions/workflows/docker-image.yml/badge.svg" class="img-fluid" alt="Docker Image :whale2:"></a></p>
<!--
[![](https://github.com/codespaces/badge.svg)](https://codespaces.new/espm-157/nasa-topst-env-justice?quickstart=1)
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<hr>
<p>This project seeks to introduce cloud-native approaches to geospatial analysis in R &amp; Python through the lens of environmental justice applications. This is not meant as a complete course in geospatial analysis – though we encourage interested readers to consider <a href="https://geocompx.org/">Geocomputation in R or Python</a> as an excellent resource. We present opinionated recipes meant to empower users with the following design goals:</p>
<p>This project seeks to introduce <a href="https://cloudnativegeo.org">cloud-native approaches to geospatial analysis</a> in R &amp; Python through the lens of environmental justice applications. This is not meant as a complete course in geospatial analysis – though we encourage interested readers to consider <a href="https://geocompx.org/">Geocomputation in R or Python</a> as an excellent resource. We present opinionated recipes meant to empower users with the following design goals:</p>
<ul>
<li>Open science: open source software, open data, open standards, and reproducibility are emphasized.</li>
<li>Recipes are presented as reproducible computational notebooks (Quarto and Jupyter) set in narrative analysis.</li>
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28 changes: 17 additions & 11 deletions tutorials/R/1-intro-R.html
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<link href="../../site_libs/bootstrap/bootstrap.min.css" rel="stylesheet" id="quarto-bootstrap" data-mode="light"><meta charset="utf-8">
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<h1 class="text-white">Introduction</h1>
<p class="lead mb-4 text-white opacity-8">Cloud-Native Data in R</p>
<p class="lead mb-4 text-white opacity-8">Cloud-native geospatial data in R</p>
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<tbody>
<tr class="odd">
<td style="text-align: left;">A</td>
<td style="text-align: right;">0.3201204</td>
<td style="text-align: right;">0.0611414</td>
<td style="text-align: right;">0.3201176</td>
<td style="text-align: right;">0.0611433</td>
</tr>
<tr class="even">
<td style="text-align: left;">B</td>
<td style="text-align: right;">0.2138501</td>
<td style="text-align: right;">0.0783221</td>
<td style="text-align: right;">0.2138515</td>
<td style="text-align: right;">0.0783234</td>
</tr>
<tr class="odd">
<td style="text-align: left;">C</td>
<td style="text-align: right;">0.1956334</td>
<td style="text-align: right;">0.0564822</td>
<td style="text-align: right;">0.1956364</td>
<td style="text-align: right;">0.0564873</td>
</tr>
<tr class="even">
<td style="text-align: left;">D</td>
<td style="text-align: right;">0.1949736</td>
<td style="text-align: right;">0.0385805</td>
<td style="text-align: right;">0.1949794</td>
<td style="text-align: right;">0.0385861</td>
</tr>
<tr class="odd">
<td style="text-align: left;">NA</td>
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<script src="../../site_libs/quarto-search/fuse.min.js"></script>
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</a>
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<script src="../site_libs/quarto-search/fuse.min.js"></script>
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</script>
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<meta name="generator" content="pandoc">
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<h1 class="text-white">Introduction</h1>
<p class="lead mb-4 text-white opacity-8">Cloud-native geospatial data in Python</p>
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Expand Down Expand Up @@ -345,7 +352,7 @@ <h2 class="anchored" data-anchor-id="data-discovery">Data discovery</h2>
<pre><code>&lt;xarray.plot.facetgrid.FacetGrid at 0x7fa18b685fc0&gt;</code></pre>
</div>
<div class="cell-output cell-output-display">
<p><img src="intro-python_files/figure-html/cell-6-output-2.png" class="img-fluid"></p>
<p><img src="1-intro-python_files/figure-html/cell-6-output-2.png" class="img-fluid"></p>
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<pre><code>&lt;Axes: &gt;</code></pre>
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<p><img src="intro-python_files/figure-html/cell-8-output-2.png" class="img-fluid"></p>
<p><img src="1-intro-python_files/figure-html/cell-8-output-2.png" class="img-fluid"></p>
</div>
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<p>Are historically redlined areas still less green?</p>
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