adespatial: Multivariate Multiscale Spatial Analysis

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>.

Package details

AuthorStéphane Dray [aut] (<https://orcid.org/0000-0003-0153-1105>), David Bauman [ctb], Guillaume Blanchet [ctb], Daniel Borcard [ctb], Sylvie Clappe [ctb], Guillaume Guenard [ctb] (<https://orcid.org/0000-0003-0761-3072>), Thibaut Jombart [ctb], Guillaume Larocque [ctb], Pierre Legendre [ctb] (<https://orcid.org/0000-0002-3838-3305>), Naima Madi [ctb], Hélène H Wagner [ctb], Aurélie Siberchicot [ctb, cre] (<https://orcid.org/0000-0002-7638-8318>)
MaintainerAurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
LicenseGPL (>= 2)
Version0.3-24
URL https://github.com/adeverse/adespatial http://adeverse.github.io/adespatial/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("adespatial")

Try the adespatial package in your browser

Any scripts or data that you put into this service are public.

adespatial documentation built on Sept. 11, 2024, 7:04 p.m.