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SESraster

Randomization of presence/absence species distribution raster data 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.

Installation

To install the package, run:

install.packages("SESraster")

The development version can be installed from the Github repository:

require(devtools)
install_github("HemingNM/SESraster", build_vignettes = TRUE)

SESraster basics

Basic information about the package can be found below, at the package’s webpage, or in the vignettes browseVignettes("SESraster")

• Null model algorithms

  vignette("null-models"): For an overview of the null model algorithms for species co-occurrence analysis summarized in (Gotelli 2000, doi:10.2307/177478).

• Spatial null model algorithms in SESraster

  vignette("spatial-null-models"): Get started with SESraster. See installation instructions and how the implemented null model algorithms work with spatial data.

• Standardized effect sizes

  vignette("SES"): For computing standardized effect sizes (SES) using the implemented null model algorithms.

Citation

• If you use this R package, please cite in your publications:
  

Heming N. M., Mota F. M. M., Alves-Ferreira G. (2023). SESraster: Raster Randomization for Null Hypothesis Testing. R package version 0.7.0, https://CRAN.R-project.org/package=SESraster

• For more information:

citation("SESraster")

Issues

If you have any question or find any bug, let us know through the topic “Issues”.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.