Package: SpatialPack 0.4-1
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 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 <doi:10.1007/978-3-030-56681-4>.
Authors:
SpatialPack_0.4-1.tar.gz
SpatialPack_0.4-1.zip(r-4.5)SpatialPack_0.4-1.zip(r-4.4)SpatialPack_0.4-1.zip(r-4.3)
SpatialPack_0.4-1.tgz(r-4.4-x86_64)SpatialPack_0.4-1.tgz(r-4.4-arm64)SpatialPack_0.4-1.tgz(r-4.3-x86_64)SpatialPack_0.4-1.tgz(r-4.3-arm64)
SpatialPack_0.4-1.tar.gz(r-4.5-noble)SpatialPack_0.4-1.tar.gz(r-4.4-noble)
SpatialPack_0.4-1.tgz(r-4.4-emscripten)SpatialPack_0.4-1.tgz(r-4.3-emscripten)
SpatialPack.pdf |SpatialPack.html✨
SpatialPack/json (API)
| # Install 'SpatialPack' in R: |
| install.packages('SpatialPack', repos = c('https://faosorios.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:a101f043bf. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win-x86_64 | OK | Nov 21 2024 |
| R-4.5-linux-x86_64 | OK | Nov 21 2024 |
| R-4.4-win-x86_64 | OK | Nov 21 2024 |
| R-4.4-mac-x86_64 | OK | Nov 21 2024 |
| R-4.4-mac-aarch64 | OK | Nov 21 2024 |
| R-4.3-win-x86_64 | OK | Nov 21 2024 |
| R-4.3-mac-x86_64 | OK | Nov 21 2024 |
| R-4.3-mac-aarch64 | OK | Nov 21 2024 |
Exports:clippingcodispcodisp.kscor.spatialCQdenoiseimnoisemodified.Ftestmodified.ttestnormalizeRGB2graySSIM
Dependencies:fastmatrix
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Clipping image | clipping |
| Codispersion Coefficient | codisp |
| A Nadaraya-Watson Codispersion Coefficient | codisp.ks |
| Tjostheim's Coefficient | cor.spatial |
| Codispersion based similarity index | CQ |
| Remove noise from an image | denoise |
| Add noise to image | imnoise |
| Modified F test | modified.Ftest |
| Modified t test | modified.ttest |
| The Murray smelter site dataset | murray |
| Normalization for a matrix | normalize |
| The Pinus Radiata dataset | radiata |
| Convert RGB image or colormap to grayscale image | RGB2gray |
| Structural similarity index | SSIM |
| USC texture mosaic number 2 | texmos2 |
| Ishihara plate number 1 | twelve |
| Brodatz texture image, Straw (D15) | wheat |
