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Regionalization of Multiscale Spatial Processes

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About

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.

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Version 1.2
R ≥ 2.10
Published 2022-06-06 696 days ago
Needs compilation? no
License GPL-2
CRAN checks rcage results

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Maintainer

Maintainer

Shannon T. Holloway

shannon.t.holloway@gmail.com

Authors

Jonathan R. Bradley

aut

Christopher K. Wikle

aut

Scott H. Holan

aut

Shannon T. Holloway

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rcage archive

Depends

R ≥ 2.10
ff

Imports

ClustGeo
MASS
fields
ggplot2
methods
pracma
raster
rgeos
sp
gridExtra
rlang
Matrix
sf
LaplacesDemon