Tools for the multiscale spatial analysis of multivariate data.
Several methods are based on the use of a spatial weighting matrix and its
eigenvector decomposition (Moran's Eigenvectors Maps, MEM).
Several approaches are described in the review Dray et al (2012)
<doi:10.1890/11-1183.1>.
| Version: |
0.3-24 |
| Imports: |
ade4 (≥ 1.7-13), adegraphics, adephylo, sp, spdep, lattice, methods, grDevices, graphics, MASS, stats, utils, shiny, vegan |
| Suggests: |
knitr, ape, rmarkdown, betapart |
| Published: |
2024-09-06 |
| DOI: |
10.32614/CRAN.package.adespatial |
| Author: |
Stéphane Dray 
[aut],
David Bauman [ctb],
Guillaume Blanchet [ctb],
Daniel Borcard [ctb],
Sylvie Clappe [ctb],
Guillaume Guenard
[ctb],
Thibaut Jombart [ctb],
Guillaume Larocque [ctb],
Pierre Legendre
[ctb],
Naima Madi [ctb],
Hélène H Wagner [ctb],
Aurélie Siberchicot
[ctb, cre] |
| Maintainer: |
Aurélie Siberchicot <aurelie.siberchicot at univ-lyon1.fr> |
| BugReports: |
https://github.com/adeverse/adespatial/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/adeverse/adespatial,
http://adeverse.github.io/adespatial/ |
| NeedsCompilation: |
yes |
| Citation: |
adespatial citation info |
| CRAN checks: |
adespatial results |