SpatPCA: Regularized Principal Component Analysis for Spatial Data

Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigen-functions by using the alternating direction method of multipliers algorithm (Wang and Huang, 2017, <doi:10.1080/10618600.2016.1157483>). The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D.

Version: 1.3.8
Depends: R (≥ 3.4.0)
Imports: Rcpp (≥ 1.0.12), ggplot2, parallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0), dplyr (≥ 1.0.3), tidyr, fields, scico, plot3D, pracma, RColorBrewer, maps, covr, styler, V8
Published: 2025-09-28
DOI: 10.32614/CRAN.package.SpatPCA
Author: Wen-Ting Wang ORCID iD [aut, cre], Hsin-Cheng Huang ORCID iD [aut]
Maintainer: Wen-Ting Wang <egpivo at gmail.com>
BugReports: https://github.com/egpivo/SpatPCA/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://egpivo.github.io/SpatPCA/, https://github.com/egpivo/SpatPCA
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README, NEWS
CRAN checks: SpatPCA results

Documentation:

Reference manual: SpatPCA.html , SpatPCA.pdf
Vignettes: Capture the Dominant Spatial Pattern with One-Dimensional Locations (source, R code)
Capture the Dominant Spatial Pattern with Two-Dimensional Locations (source, R code)

Downloads:

Package source: SpatPCA_1.3.8.tar.gz
Windows binaries: r-devel: SpatPCA_1.3.8.zip, r-release: SpatPCA_1.3.8.zip, r-oldrel: SpatPCA_1.3.8.zip
macOS binaries: r-release (arm64): SpatPCA_1.3.8.tgz, r-oldrel (arm64): SpatPCA_1.3.8.tgz, r-release (x86_64): SpatPCA_1.3.8.tgz, r-oldrel (x86_64): SpatPCA_1.3.8.tgz
Old sources: SpatPCA archive

Linking:

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