fit.memory

Function to evaluate if the rasters generated in the function fit on RAM memory

Randomization of presence/absence species distribution raster
data with or without including spatial structure for calculating
standardized effect sizes and testing null hypothesis. The
randomization algorithms are based on classical algorithms for
matrices (Gotelli 2000, <doi:10.2307/177478>) implemented for raster
data.

Neander Marcel Heming

SESraster

Raster Randomization for Null Hypothesis Testing

Gabriela Alves-Ferreira

fit.memory function

<dl><dt>x</dt>
<dd>SpatRaster</dd>
<dt>n</dt>
<dd>positive integer. The number of copies of <code>x</code> that are needed</dd></dl>

Arguments

Neander Marcel Heming and Gabriela Alves-Ferreira

Author

Function to evaluate if the rasters generated in the function fit on RAM memory — fit.memory

<dl>

<dt>x</dt>
<dd>SpatRaster</dd>


<dt>n</dt>
<dd>positive integer. The number of copies of <code>x</code> that are needed</dd>

</dl>

fit.memory: Function to evaluate if the rasters generated in the function fit on RAM memory

Description

Usage

Value

Arguments

Author