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<section id="how-to-use-the-indigo-r-package" class="level1">
<h1>How to use: The indiGO R Package</h1>
<p>This repository contains a Quarto project that demonstrates the usage of the <strong>IA (Indicator Analyses)</strong> R package. The <strong>IA</strong> package can be found in the <a href="https://github.com/hetzerj/IA">hetzerj/IA</a> repository.</p>
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<section id="tutorial-1.0-how-to-use-the-indigo-r-package" class="level1">
<h1>Tutorial 1.0: How to use the indiGO R Package</h1>
<p>This repository contains a Quarto project that demonstrates the usage of the he <strong>indiGO (Indicators in Generalized Outputs)</strong> R-package which is designed to analyze and display global indicators of the status and trends in nature in a generalized and systematic way. The indiGO package can be found in the <a href="https://github.com/hetzerj/indiGO">indiGO R package repository</a>.</p>
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<section id="tutorials-for-the-indigo-r-package" class="level1">
<h1>Tutorials for the indiGO R Package</h1>
<p>This repository contains tutorials that demonstrate the usage of the <strong>indiGO (Indicators in Generalized Outputs)</strong> R package, which is designed to analyze and display indicators of the status and trends in nature in a generalized and systematic way. The indiGO package can be found in the <a href="https://github.com/IPBES-Data/indiGO">indiGO R package repository</a>.</p>
<section id="overview" class="level2">
<h2 class="anchored" data-anchor-id="overview">Overview</h2>
<p>The indiGO R-package provides an open-access framework that enables users to access annually and globally aggregated indicators as described in the <a href="https://doi.org/10.5281/zenodo.3831673">first Global Assessment Report on Biodiversity and Ecosystem Services</a> of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES, 2019). It follows the standardization of indicators outlined in the supplemental material of the Global Assessment Report, <a href="https://doi.org/10.5281/zenodo.3832005">Chapter 2.2: Status and Trends – Nature</a>.</p>
<p>The package provides a flexible framework for handling a wide variety of indicators, not limited to a specific region, ecosystem, or time period. The generalized outputs are broad and adaptable, allowing users to apply them to various generalized data sets or indicator types across global or regional scales. Additionally, indiGO allows users to include their own data, enabling local data integration for customized indicator analysis.</p>
<p>The indiGO R package provides an open-access framework that enables users to access annually aggregated indicators as described in the <a href="https://doi.org/10.5281/zenodo.3831673">first Global Assessment Report on Biodiversity and Ecosystem Services</a> by the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES, 2019). It follows the standardization of indicators outlined in the supplementary material of the Global Assessment Report, <a href="https://doi.org/10.5281/zenodo.3832005">Chapter 2.2: Status and Trends – Nature</a>.</p>
<p>The package offers a flexible framework for handling a wide variety of indicators, not limited to a specific region, ecosystem, or time period. Its generalized outputs are broad and adaptable, allowing users to apply them to various data sets or indicator types across global or regional scales. Additionally, indiGO allows users to include their own data, enabling local data integration for customized indicator analysis.</p>
<ul>
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<li><strong>Available Indicators</strong>: Lists all the indicators provided by the <strong>IA</strong> package.</li>
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<li><strong>Available Indicators</strong>: Lists all the indicators provided by the indiGO R package.</li>
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<li><strong>Function Demonstrations</strong>: Shows how the core functions of the package work, using practical examples.</li>
<li><strong>Plotting Figures</strong>: Provides instructions and examples for visualizing the indicators using the package’s functions.</li>
<li><strong>Available Indicators</strong>: The package includes a variety of indicator data sets. The tutorials provided here demonstrate how to browse and load them.</li>
<li><strong>Function Demonstrations</strong>: The tutorials cover basic and advanced functionalities of the package, using practical examples.</li>
<li><strong>Plotting Figures</strong>: Users can follow instructions to visualize indicators and create standardized figures using the package’s functions.</li>
</ul>
</section>
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<section id="key-features" class="level2">
<h2 class="anchored" data-anchor-id="key-features">Key Features</h2>
<ul>
<li>Displays all available indicators in the package.</li>
<li>Demonstrates how to apply various functions within the package to analyze indicators.</li>
<li>Shows how to generate and customize plots for visualizing indicator data.</li>
<li>Includes rendered output via GitHub Pages to allow users to view the documentation and examples directly online.</li>
</ul>
</section>
<section id="how-to-access-the-quarto-project" class="level2">
<h2 class="anchored" data-anchor-id="how-to-access-the-quarto-project">How to Access the Quarto Project</h2>
<p>The Quarto project is rendered as a website using GitHub Pages. You can access the live version of the documentation <a href="https://hetzerj.github.io/IA_quarto/">here</a>.</p>
<p>Tutorials are written in Quarto documents that are rendered as HTML websites and published using GitHub Pages. Links to the tutorials can be found below.</p>
</section>
<section id="download-and-install-the-indigo-r-package" class="level2">
<h2 class="anchored" data-anchor-id="download-and-install-the-indigo-r-package">Download and Install the indiGO R Package</h2>
<p>You can download and install the <strong>indiGO</strong> R package directly from the <a href="https://github.com/hetzerj/indiGO">hetzerj/IA</a> GitHub repository using the following commands in R:</p>
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<section id="how-to-access-the-tutorial" class="level2">
<h2 class="anchored" data-anchor-id="how-to-access-the-tutorial">How to Access the Tutorial</h2>
<p>The Tutorial is rendered as a website using GitHub Pages. You can access the live version of the documentation <a href="https://hetzerj.github.io/IA_quarto/">here</a>.</p>
</section>
<section id="download-and-install-the-indigo-r-package" class="level2">
<h2 class="anchored" data-anchor-id="download-and-install-the-indigo-r-package">Download and Install the indiGO R Package</h2>
<p>You can download and install the <strong>indiGO</strong> R package directly from the <a href="https://github.com/hetzerj/indiGO">indiGO R package repository</a> using the following commands in R:</p>
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<p>You can download and install the <strong>indiGO</strong> R package directly from the <a href="https://github.com/IPBES-Data/indiGO">indiGO R package repository</a> using the following commands in R:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Install devtools if not already installed</span></span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">install.packages</span>(<span class="st">"devtools"</span>)</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co"># Install IA package from GitHub</span></span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="co"># Install indiGO package from GitHub</span></span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>devtools<span class="sc">::</span><span class="fu">install_github</span>(<span class="st">"hetzerj/indiGO"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</section>
<section id="tutorial-1.0-how-to-use-the-indigo-r-package" class="level2">
<h2 class="anchored" data-anchor-id="tutorial-1.0-how-to-use-the-indigo-r-package">Tutorial 1.0: How to Use the indiGO R Package</h2>
<p>This tutorial provides an overview of the core functionalities of the package, including browsing, loading, and displaying indicators in generalized outputs. You can access the live version of the documentation here: <a href="https://ipbes-data.github.io/indiGO_Tutorials/">Tutorial 1.0: How to Use the indiGO R Package</a>.</p>
</section>
</section>

</main>
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