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] (<https://orcid.org/0000-0003-0761-3072>),
Pierre Legendre
[ctb] (<https://orcid.org/0000-0002-3838-3305>) |
| Maintainer: |
Guillaume Guénard <guillaume.guenard at umontreal.ca> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| Citation: |
pMEM citation info |
| CRAN checks: |
pMEM results |
Documentation:
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