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.

Package details

AuthorGuillaume Guénard [aut, cre] (<https://orcid.org/0000-0003-0761-3072>), Pierre Legendre [ctb] (<https://orcid.org/0000-0002-3838-3305>)
MaintainerGuillaume Guénard <guillaume.guenard@umontreal.ca>
LicenseGPL-3
Version0.1-1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pMEM")

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pMEM documentation built on Sept. 30, 2024, 5:06 p.m.