pMEM: Predictive Moran's Eigenvector Maps
Calculate Predictive Moran's Eigenvector Maps (pMEM) for spatially-explicit prediction of environmental variables, as defined by Guénard and Legendre (2024) <doi:10.1111/2041-210X.14413>. pMEM extends classical MEM by enabling interpolation and prediction at unsampled locations using spatial weighting functions parameterized by range (and optionally shape). The package implements multiple pMEM types (e.g., exponential, Gaussian, linear) and features a modular architecture that allows programmers to define custom weighting functions. Designed for ecologists, geographers, and spatial analysts working with spatially-structured data.
| Version: | 1.0-1 |
| Depends: | R (≥ 4.1.0), sf |
| Imports: | Rcpp (≥ 1.0.11) |
| LinkingTo: | Rcpp |
| Suggests: | glmnet, knitr, magrittr, rmarkdown, xfun |
| Published: | 2026-03-08 |
| DOI: | 10.32614/CRAN.package.pMEM |
| Author: | Guillaume Guénard 
[aut, cre],
Pierre Legendre
[ctb] |
| Maintainer: | Guillaume Guénard <guillaume.guenard at gmail.com> |
| 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_1.0-1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | pMEM archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=pMEM to link to this page.