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SpatialPack (version 0.4)

Tools for Assessment the Association Between Two Spatial Processes

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 .

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Version

Install

install.packages('SpatialPack')

Monthly Downloads

737

Version

0.4

License

GPL-3

Maintainer

Felipe Osorio

Last Published

August 19th, 2022

Functions in SpatialPack (0.4)

SSIM

Structural similarity index
RGB2gray

Convert RGB image or colormap to grayscale image
codisp

Codispersion Coefficient
denoise

Remove noise from an image
cor.spatial

Tjostheim's Coefficient
imnoise

Add noise to image
CQ

Codispersion based similarity index
modified.Ftest

Modified F test
modified.ttest

Modified t test
normalize

Normalization for a matrix
murray

The Murray smelter site dataset
wheat

Brodatz texture image, Straw (D15)
clipping

Clipping image
twelve

Ishihara plate number 1
texmos2

USC texture mosaic number 2
radiata

The Pinus Radiata dataset