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pMEM: Predictive Moran's Eigenvector Maps

Calculation of Predictive Moran's eigenvector maps (pMEM), as defined by Guénard and Legendre (In Press) "Spatially-explicit predictions using spatial eigenvector maps" <doi:10.5281/zenodo.13356457>. Methods in Ecology and Evolution. This method enables scientists to predict the values of spatially-structured environmental variables. Multiple types of pMEM are defined, each one implemented on the basis of spatial weighting function taking a range parameter, and sometimes also a shape parameter. The code's modular nature enables programers to implement new pMEM by defining new spatial weighting functions.

Version:0.1-1
Depends:R (≥ 3.5.0),sf
Imports:Rcpp (≥ 1.0.11)
LinkingTo:Rcpp
Suggests:knitr,xfun,magrittr,glmnet
Published:2024-09-30
DOI:10.32614/CRAN.package.pMEM
Author:Guillaume GuénardORCID iD [aut, cre], Pierre LegendreORCID iD [ctb]
Maintainer:Guillaume Guénard <guillaume.guenard at umontreal.ca>
License:GPL-3
NeedsCompilation:yes
Citation:pMEM citation info
CRAN checks:pMEM results

Documentation:

Reference manual:pMEM.html ,pMEM.pdf
Vignettes:Using pMEM for Spatial Modelling with Predictive Moran's Eigenvector Maps (source,R code)

Downloads:

Package source: pMEM_0.1-1.tar.gz
Windows binaries: r-devel:pMEM_0.1-1.zip, r-release:pMEM_0.1-1.zip, r-oldrel:pMEM_0.1-1.zip
macOS binaries: r-release (arm64):pMEM_0.1-1.tgz, r-oldrel (arm64):pMEM_0.1-1.tgz, r-release (x86_64):pMEM_0.1-1.tgz, r-oldrel (x86_64):pMEM_0.1-1.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=pMEMto link to this page.


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