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. SpatialPack gives methods to complement methodologies that are available in geoR for one spatial process.

Version: 0.3-8
Depends: R (≥ 2.10)
Imports: stats, graphics
Published: 2019-07-31
Author: Felipe Osorio [aut, cre], Ronny Vallejos [aut], Francisco Cuevas [ctb], Diego Mancilla [ctb]
Maintainer: Felipe Osorio <felipe.osorios at usm.cl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
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_0.3-8.tar.gz
Windows binaries: r-devel: SpatialPack_0.3-8.zip, r-devel-gcc8: SpatialPack_0.3-8.zip, r-release: SpatialPack_0.3-8.zip, r-oldrel: SpatialPack_0.3-8.zip
OS X binaries: r-release: SpatialPack_0.3-8.tgz, r-oldrel: SpatialPack_0.3-8.tgz
Old sources: SpatialPack archive

Reverse dependencies:

Reverse imports: spatialEco

Linking:

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