SpatialPack: Tools for Assessment the Association Between Two Spatial Processes

Tools to assess the association between two spatial processes. Currently, several methodologies are implemented: A modified t-test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, the codispersion coefficient, and an F test for assessing the multiple correlation between one spatial process and several others. Functions for image processing and computing the spatial association between images are also provided.

Version: 0.3-8196
Depends: R (≥ 3.5.0), fastmatrix
Imports: stats, graphics
LinkingTo: fastmatrix
Published: 2020-09-22
Author: Felipe Osorio ORCID iD [aut, cre], Ronny Vallejos ORCID iD [aut], Francisco Cuevas [ctb], Diego Mancilla [ctb]
Maintainer: Felipe Osorio <felipe.osorios at usm.cl>
License: GPL-3
URL: http://spatialpack.mat.utfsm.cl
NeedsCompilation: yes
Citation: SpatialPack citation info
Materials: ChangeLog
CRAN checks: SpatialPack results

Downloads:

Reference manual: SpatialPack.pdf
Package source: SpatialPack_0.3-8196.tar.gz
Windows binaries: r-devel: SpatialPack_0.3-8196.zip, r-release: SpatialPack_0.3-8196.zip, r-oldrel: SpatialPack_0.3-8196.zip
macOS binaries: r-release: SpatialPack_0.3-8196.tgz, r-oldrel: SpatialPack_0.3-8196.tgz
Old sources: SpatialPack archive

Reverse dependencies:

Reverse suggests: spatialEco

Linking:

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