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SpatialPack
View on CRAN: Click
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Download and install SpatialPack package within the R console
Install from CRAN:
install.packages("SpatialPack")
Install from Github:
library("remotes")
install_github("cran/SpatialPack")
Install by package version:
library("remotes")
install_version("SpatialPack", "0.4")
Attach the package and use:
library("SpatialPack")
Maintained by
Felipe Osorio
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-08
Latest Update: 2022-08-19
Description:
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>.
How to cite:
Felipe Osorio (2014). SpatialPack: Tools for Assessment the Association Between Two Spatial Processes. R package version 0.4, https://cran.r-project.org/web/packages/SpatialPack
Previous versions and publish date:
Other packages that cited SpatialPack R package
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Other R packages that SpatialPack depends,
imports, suggests or enhances
Functions, R codes and Examples using
the SpatialPack R package
Some associated functions: CQ . RGB2gray . SSIM . clipping . codisp . cor.spatial . denoise . imnoise . modified.Ftest . modified.ttest . murray . normalize . radiata . texmos2 . twelve . wheat .
Some associated R codes: codisp.R . cor.spatial.R . image.R . modified.Ftest.R . modified.ttest.R . similarity.R . Full SpatialPack package functions and examples
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