raster.cor

Calculates the correlation coefficient between two rasters.

Constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography. Warren, D.L., R.E. Glor, and M. Turelli (2008) <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011) <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M. Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L. Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R. Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.

Dan Warren

ENMTools

Analysis of Niche Evolution using Niche and Distribution Models

Russell Dinnage

raster.cor function

<dl><dt>x</dt>
<dd>Either a raster or an ENMTools model object with a suitability raster.</dd>
<dt>y</dt>
<dd>Either a raster or an ENMTools model object with a suitability raster.</dd>
<dt>method</dt>
<dd>The method to be used for calculating correlations. Defaults to spearman, but can take "kendall" or "pearson" as well.</dd></dl>

Arguments

Calculates the correlation coefficient between two rasters. — raster.cor

<dl>

<dt>x</dt>
<dd>Either a raster or an ENMTools model object with a suitability raster.</dd>


<dt>y</dt>
<dd>Either a raster or an ENMTools model object with a suitability raster.</dd>


<dt>method</dt>
<dd>The method to be used for calculating correlations. Defaults to spearman, but can take "kendall" or "pearson" as well.</dd>

</dl>

raster.cor: Calculates the correlation coefficient between two rasters.

Description

Usage

Value

Arguments

Examples