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rcage (version 1.2)

Regionalization of Multiscale Spatial Processes

Description

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) .

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Version

Install

install.packages('rcage')

Monthly Downloads

25

Version

1.2

License

GPL-2

Maintainer

Shannon Holloway

Last Published

June 6th, 2022

Functions in rcage (1.2)

wendland

Wendland Basis Functions
radial

Gaussian Radial Basis Functions
countyExample

U.S. Legal/Statistical Area Data
optRegion

Regionalization of Multi-scale Spatial Processes
bisquare

Bisquare Basis Functions
MIpriorInv

Inverse of the MI Prior Distribution
plot.rcage

Generate Plots Summarizing Main Results
oceanExample

Ocean Color Observations
region

Regionalization of Multiscale Spatial Processes
windExample

Wind Point Observations
OCbasis

Obled-Cruetin Basis Function