Multivariate Multiscale Spatial Analysis R package adespatial version 0.3-29 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>. Software Depends: R (>= 3.5.0) Imports: ade4 (>= 1.7-13), adegraphics, adephylo, sp, spdep, lattice, methods, grDevices, graphics, MASS, stats, utils, shiny, vegan Suggests: knitr, ape, rmarkdown, betapart Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr> Comprehensive R Archive Network (CRAN) Stéphane Dray [aut] (ORCID: <https://orcid.org/0000-0003-0153-1105>), David Bauman [ctb], Guillaume Blanchet [ctb], Daniel Borcard [ctb], Sylvie Clappe [ctb], Guillaume Guenard [ctb] (ORCID: <https://orcid.org/0000-0003-0761-3072>), Thibaut Jombart [ctb], Guillaume Larocque [ctb], Pierre Legendre [ctb] (ORCID: <https://orcid.org/0000-0002-3838-3305>), Naima Madi [ctb], Hélène H Wagner [ctb], Aurélie Siberchicot [ctb, cre] (ORCID: <https://orcid.org/0000-0002-7638-8318>), John Chambers [ctb] (Original author of two functions from package SoDA) GPL (>= 2) 2026-03-21 application/tgz https://CRAN.R-project.org/package=adespatial doi:10.32614/CRAN.package.adespatial