SpatialPack: Package for analysis of spatial data

This package provides tools to assess the association between two spatial processes. Currently, three methodologies are implemented: An adapted t-test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, and the codispersion coefficient. SpatialPack gives methods to complement methodologies that are available in geoR for one spatial process.

Install the latest version of this package by entering the following in R:
install.packages("SpatialPack")
AuthorFelipe Osorio <felipe.osorios@usm.cl> and Ronny Vallejos <ronny.vallejos@usm.cl>, with contributions of Francisco Cuevas and Diego Mancilla.
Date of publication2014-08-08 08:04:01
MaintainerFelipe Osorio <felipe.osorios@usm.cl>
LicenseGPL (>= 2)
Version0.2-3
http://spatialpack.mat.utfsm.cl

View on CRAN

Files

inst
inst/CITATION
src
src/matrix.c
src/mod_ttest.h
src/Makevars
src/mod_ttest.c
src/cor_spatial.h
src/tjostheim.f
src/stats.c
src/base.h
src/codisp_coef.c
src/stats.h
src/base.c
src/init.c
src/cor_spatial.c
src/matrix.h
src/spatialpack.h
src/codisp_coef.h
NAMESPACE
data
data/murray.rda
R
R/codisp.R R/cor.spatial.R R/modified.ttest.R
MD5
DESCRIPTION
man
man/codisp.Rd man/murray.Rd man/modified.ttest.Rd man/cor.spatial.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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