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 Guénard 
[aut, cre],
Pierre Legendre
[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.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:
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