summary_gcms

This function summarizes GCM data by calculating various statistics for each variable.

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.

Luíz Esser

chooseGCM

Selecting General Circulation Models for Species Distribution
Modeling

Dayani Baili

Reginaldo Ré

Marcos Lima

summary_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

Summarize General Circulation Model (GCM) Data — summary_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>

summary_gcms: Summarize General Circulation Model (GCM) Data

Description

Usage

Value

Arguments

Author

See Also

Examples