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conda-forge/r-adespatial

r-adespatial

Community

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>.

Copied fromcf-post-staging / r-adespatial

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-adespatial

Usage Tracking

0.3_29
0.3_28
0.3_27
0.3_26
0.3_24
0.3_21
6 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

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>.

Last Updated

Mar 8, 2023 at 00:22

License

GPL-2.0-or-later

Total Downloads

69.0K

Version Downloads

11.3K

Supported Platforms

linux-64
macOS-64

Unsupported Platforms

win-64 Last supported version: 0.3_29

Home

https://CRAN.R-project.org/package=adespatial

GitHub Repository

https://github.com/sdray/adespatial