rcage: Regionalization of Multiscale Spatial Processes

Regionalization of multiscale spatial processes based on a criterion for spatial aggregation error. The multiscale representation is a truncated Karhunen-Loaeve expansion using Obled-Creutin eigenfunctions. The method is incorporated within a Bayesian framework using an MCMC implementation of a latent spatial model. Bradley, J. R., Wikle, C. K., and Holan, S. H. (2017) <doi:10.1111/rssb.12179>.

Version: 1.1
Depends: R (≥ 2.10), ff
Imports: ClustGeo, MASS, fields, ggplot2, methods, pracma, raster, rgeos, sp, gridExtra, rlang, Matrix, sf, LaplacesDemon
Published: 2021-06-14
Author: Jonathan R. Bradley [aut], Christopher K. Wikle [aut], Scott H. Holan [aut], Shannon T. Holloway [aut, cre]
Maintainer: Shannon T. Holloway <sthollow at ncsu.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: rcage results


Reference manual: rcage.pdf


Package source: rcage_1.1.tar.gz
Windows binaries: r-devel: rcage_1.1.zip, r-release: rcage_1.1.zip, r-oldrel: rcage_1.1.zip
macOS binaries: r-release (arm64): rcage_1.1.tgz, r-release (x86_64): rcage_1.1.tgz, r-oldrel: rcage_1.1.tgz


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