SpatialPack v0.3-8196
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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 in SpatialPack
Name | Description | |
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 | |
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Details
Type | Package |
Date | 2020-09-21 |
LinkingTo | fastmatrix |
License | GPL-3 |
URL | http://spatialpack.mat.utfsm.cl |
NeedsCompilation | yes |
LazyLoad | yes |
Packaged | 2020-09-21 20:26:03 UTC; felipe |
Repository | CRAN |
Date/Publication | 2020-09-22 10:50:11 UTC |
depends | fastmatrix , R (>= 3.5.0) |
imports | graphics , stats |
Contributors | Ronny Vallejos, Francisco Cuevas, Diego Mancilla |
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