ClimaRep-package

ClimaRep

<p>Offers tools to estimate the climate representativeness of reference polygons and quantifies its transformation under future climate change scenarios. Approaches described in Mingarro and Lobo (2018) tools:::Rd_expr_doi("10.32800/abc.2018.41.0333") and Mingarro and Lobo (2022) tools:::Rd_expr_doi("10.1017/S037689292100014X").</p>
<div class="section" id="overview">
<h3>Overview</h3><p></p><p>
</p><p>The primary goal of <code>ClimaRep</code> is to quantify how well the climate within specific polygons (<code>sf</code>) represents the broader climate space defined by climate variables (<code>SpatRaster</code>) within a study area (<code>sf</code>).
It also provides functions to evaluate how this representativeness changes under projected future climate conditions.</p>
</div><p></p><p><div class="section" id="key-features">
<h3>Key Features</h3></div></p><p>
</p><p>The package includes functions for:</p><ul>
<li><p>Filtering raster climate variables to reduce multicollinearity (vif_filter).</p></li>
<li><p>Estimating current climate representativeness (mh_rep).</p></li>
<li><p>Estimating changes in climate representativeness under future climate projections (mh_rep_ch).</p></li>
<li><p>Estimating climate representativeness overlay (rep_overlay).</p></li>
</ul><p></p><p></p><p><div class="section" id="more-details">
<h3>More Details</h3></div></p><p>
</p><p>https://github.com/MarioMingarro/ClimaRep</p>



internal

Offers tools to estimate the climate representativeness of reference polygons and quantifies its transformation under future climate change scenarios. Approaches described in Mingarro and Lobo (2018) <doi:10.32800/abc.2018.41.0333> and Mingarro and Lobo (2022) <doi:10.1017/S037689292100014X>.

Mario Mingarro Lopez

Estimating Climate Representativeness

Mario Mingarro

Gabriel del Barrio

Jorge M. Lobo

ClimaRep-package function

<p><strong>Maintainer</strong>: Mario Mingarro <a href="/link/mario_mingarro%40mncn.csic.es?package=ClimaRep&version=1.0" data-mini-rdoc="ClimaRep::mario_mingarro@mncn.csic.es">mario_mingarro@mncn.csic.es</a> (<a href="https://orcid.org/0000-0003-3977-7944">ORCID</a>)</p>
<p>Other contributors:</p><ul>
<li><p>Gabriel del Barrio (<a href="https://orcid.org/0000-0001-6146-9433">ORCID</a>) [contributor]</p></li>
<li><p>Jorge M. Lobo (<a href="https://orcid.org/0000-0002-3152-4769">ORCID</a>) [contributor]</p></li>
</ul><p></p><p></p>

Author

<p>Offers tools to estimate the climate representativeness of reference polygons and quantifies its transformation under future climate change scenarios. Approaches described in Mingarro and Lobo (2018) tools:::Rd_expr_doi("10.32800/abc.2018.41.0333") and Mingarro and Lobo (2022) tools:::Rd_expr_doi("10.1017/S037689292100014X").</p>
<div class='section' id='overview'>
<h3>Overview</h3>


<p>The primary goal of <code>ClimaRep</code> is to quantify how well the climate within specific polygons (<code>sf</code>) represents the broader climate space defined by climate variables (<code>SpatRaster</code>) within a study area (<code>sf</code>).
It also provides functions to evaluate how this representativeness changes under projected future climate conditions.</p>
</div>

<div class='section' id='key-features'>
<h3>Key Features</h3>


<p>The package includes functions for:</p><ul>
<li><p>Filtering raster climate variables to reduce multicollinearity (vif_filter).</p></li>
<li><p>Estimating current climate representativeness (mh_rep).</p></li>
<li><p>Estimating changes in climate representativeness under future climate projections (mh_rep_ch).</p></li>
<li><p>Estimating climate representativeness overlay (rep_overlay).</p></li>
</ul>

</div>

<div class='section' id='more-details'>
<h3>More Details</h3>


<p>https://github.com/MarioMingarro/ClimaRep</p>
</div>


ClimaRep: Estimating Climate Representativeness — ClimaRep-package

<p><strong>Maintainer</strong>: Mario Mingarro <a href='mailto:mario_mingarro@mncn.csic.es'>mario_mingarro@mncn.csic.es</a> (<a href='https://orcid.org/0000-0003-3977-7944'>ORCID</a>)</p>
<p>Other contributors:</p><ul>
<li><p>Gabriel del Barrio (<a href='https://orcid.org/0000-0001-6146-9433'>ORCID</a>) [contributor]</p></li>
<li><p>Jorge M. Lobo (<a href='https://orcid.org/0000-0002-3152-4769'>ORCID</a>) [contributor]</p></li>
</ul>



ClimaRep-package: ClimaRep: Estimating Climate Representativeness

Description

Overview

Key Features

More Details

Arguments

Author