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SpatialPack

Tools for Assessment the Association Between Two Spatial Processes

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 (16)

Codispersion based similarity index

RGB2gray

Convert RGB image or colormap to grayscale image

SSIM

Structural similarity index

clipping

Clipping image

codisp

Codispersion Coefficient

cor.spatial

Tjostheim's Coefficient

denoise

Remove noise from an image

imnoise

Add noise to image

modified.Ftest

Modified F test

modified.ttest

Modified t test

murray

The Murray smelter site dataset

normalize

Normalization for a matrix

radiata

The Pinus Radiata dataset

texmos2

USC texture mosaic number 2

twelve

Ishihara plate number 1

wheat

Brodatz texture image, Straw (D15)

SpatialPack

Tools for Assessment the Association Between Two Spatial Processes

v0.3-8196

GPL-3

Authors

Felipe Osorio [aut, cre] (<https://orcid.org/0000-0002-4675-5201>), Ronny Vallejos [aut] (<https://orcid.org/0000-0001-5519-0946>), Francisco Cuevas [ctb], Diego Mancilla [ctb]

Initial release

2020-09-21

SpatialPack

Functions (16)

SpatialPack

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