transform_gcms

This function transforms a list of GCM stacks by subsetting it to include only the variables
specified in <code>var_names</code>, reprojecting it to match the CRS of <code>study_area</code>,
cropping and masking it to <code>study_area</code>, and returning a list of data frames.

Methods to help selecting General Circulation Models (GCMs)
in the context of projecting models to future scenarios. It is provided
clusterization algorithms, distance and correlation metrics, as well as
a tailor-made algorithm to detect the optimum subset of GCMs that recreate
the environment of all GCMs as proposed in Esser et al. (2025) <doi:10.1111/gcb.70008>.

Luíz Esser

chooseGCM

Selecting General Circulation Models for Species Distribution
Modeling

Dayani Bailly

Reginaldo Ré

Marcos R. Lima

transform_gcms function

<dl><dt>s</dt>
<dd>A list of stacks of General Circulation Models (GCMs).</dd>
<dt>var_names</dt>
<dd>Character. A vector of names of the variables to include, or 'all' to include all variables.</dd>
<dt>study_area</dt>
<dd>An Extent object, or any object from which an Extent object can be extracted.
Defines the study area for cropping and masking the rasters.</dd></dl>

Arguments

Luíz Fernando Esser (luizesser@gmail.com)
https://luizfesser.wordpress.com

Author

Transform General Circulation Model (GCM) Stacks — transform_gcms

<dl>

<dt>s</dt>
<dd>A list of stacks of General Circulation Models (GCMs).</dd>


<dt>var_names</dt>
<dd>Character. A vector of names of the variables to include, or 'all' to include all variables.</dd>


<dt>study_area</dt>
<dd>An Extent object, or any object from which an Extent object can be extracted.
Defines the study area for cropping and masking the rasters.</dd>

</dl>

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transform_gcms: Transform General Circulation Model (GCM) Stacks

Description

Usage

Value

Arguments

Author

See Also

Examples