Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Andrew O. Finley, Sudipto Banerjee, Bradley P. Carlin
Title: spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models
Abstract: Scientists and investigators in such diverse fields as geological and environmental sciences, ecology, forestry, disease mapping, and economics often encounter spatially referenced data collected over a fixed set of locations with coordinates (latitude-longitude, Easting-Northing etc.) in a region of study. Such point-referenced or geostatistical data are often best analyzed with Bayesian hierarchical models. Unfortunately, fitting such models involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific problem at hand. This requires extensive coding on the part of the user and the situation is not helped by the lack of available software for such algorithms. Here, we introduce a statistical software package, spBayes, built upon the R statistical computing platform that implements a generalized template encompassing a wide variety of Gaussian spatial process models for univariate as well as multivariate point-referenced data. We discuss the algorithms behind our package and illustrate its use with a synthetic and real data example.

Page views:: 6485. Submitted: 2006-10-29. Published: 2007-04-24.
Paper: spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models     Download PDF (Downloads: 6911)
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Data.zip: Data set files Download (Downloads: 1152; 16KB)
spBayes_0.0-6.tar.gz: R source package Download (Downloads: 1268; 2MB)
v19i04-Forest.R.zip: v19i04-Forest.R: R example code from the paper Download (Downloads: 1214; 1KB)
v19i04-Synthetic.R.zip: v19i04-Synthetic.R: R example code from the paper Download (Downloads: 1158; 1KB)

DOI: 10.18637/jss.v019.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.