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SpatialPack (version 0.4-1)

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

609

Version

0.4-1

License

GPL-3

Maintainer

Felipe Osorio

Last Published

September 29th, 2024

Functions in SpatialPack (0.4-1)

denoise

Remove noise from an image
codisp.ks

A Nadaraya-Watson Codispersion Coefficient
cor.spatial

Tjostheim's Coefficient
modified.Ftest

Modified F test
RGB2gray

Convert RGB image or colormap to grayscale image
twelve

Ishihara plate number 1
SSIM

Structural similarity index
clipping

Clipping image
wheat

Brodatz texture image, Straw (D15)
imnoise

Add noise to image
normalize

Normalization for a matrix
radiata

The Pinus Radiata dataset
codisp

Codispersion Coefficient
CQ

Codispersion based similarity index
texmos2

USC texture mosaic number 2
modified.ttest

Modified t test
murray

The Murray smelter site dataset