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. Functions contained in the package are intended to accompany Vallejos, R., Osorio, F., Bevilacqua, M. (2020). Spatial Relationships Between Two Georeferenced Variables: With Applications in R. Springer, Cham <doi:10.1007/978-3-030-56681-4>.

Version: 0.4
Depends: R (≥ 3.5.0), fastmatrix
Imports: stats, graphics
LinkingTo: fastmatrix
Published: 2022-08-19
DOI: 10.32614/CRAN.package.SpatialPack
Author: Felipe Osorio ORCID iD [aut, cre], Ronny Vallejos ORCID iD [aut], Francisco Cuevas [ctb], Diego Mancilla [ctb]
Maintainer: Felipe Osorio <felipe.osorios at>
License: GPL-3
NeedsCompilation: yes
Citation: SpatialPack citation info
Materials: ChangeLog
CRAN checks: SpatialPack results


Reference manual: SpatialPack.pdf


Package source: SpatialPack_0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SpatialPack_0.4.tgz, r-oldrel (arm64): SpatialPack_0.4.tgz, r-release (x86_64): SpatialPack_0.4.tgz, r-oldrel (x86_64): SpatialPack_0.4.tgz
Old sources: SpatialPack archive

Reverse dependencies:

Reverse imports: gateR
Reverse suggests: spatialEco


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