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SpatialPack (version 0.3-8196)

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.

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Version

Install

install.packages('SpatialPack')

Monthly Downloads

624

Version

0.3-8196

License

GPL-3

Maintainer

Felipe Osorio

Last Published

September 22nd, 2020

Functions in SpatialPack (0.3-8196)

imnoise

Add noise to image
cor.spatial

Tjostheim's Coefficient
CQ

Codispersion based similarity index
denoise

Remove noise from an image
RGB2gray

Convert RGB image or colormap to grayscale image
codisp

Codispersion Coefficient
modified.Ftest

Modified F test
clipping

Clipping image
SSIM

Structural similarity index
murray

The Murray smelter site dataset
twelve

Ishihara plate number 1
normalize

Normalization for a matrix
wheat

Brodatz texture image, Straw (D15)
texmos2

USC texture mosaic number 2
radiata

The Pinus Radiata dataset
modified.ttest

Modified t test