Advanced Spatial Analysis


This website is preserved as an Archive for the NIH-funded GISPopSci / Advanced Spatial Analysis Training Programs (2005–2013). Current resources in support of
Spatially Integrated Social Science
are now available at the following:

spatial-logo
www.spatial.ucsb.edu
gispopsci-logo
www.gispopsci.org
teachspatial-logo
www.teachspatial.org

Spatial Analysis Tools - WinBUGS

These materials have been prepared as part of the R25 Advanced Spatial Analysis Training Grant (PI: Stephen A. Matthews, Penn State) funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD). Award Number: 5R25 HD057002-02.

The links included below are intended as useful starting points for interested users. We make no claims for comprehensive coverage.

If you have suggestions to include on this site please send them to Stephen Matthews.

 

Background

The BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. The BUGS website is found at

 

WinBUGS Software

The latest version is WinBUGS1.4.1.

For additional information on WinBUGS, see

The preferred reference for citing WinBUGS in scientific papers is:

Lunn, D.J., Thomas, A., Best, N., and Spiegelhalter, D. (2000)
WinBUGS - a Bayesian modelling framework: concepts, structure, and extensibility.
Statistics and Computing, 10:325-337.

GeoBugs

GeoBugs is an add-on to WinBUGS that fits spatial models and produces a range of maps as output.

For more information on GeoBUGS, see

OpenBUGS project
For information on the OpenBUGS project, see http://mathstat.helsinki.fi/openbugs/

 

Some Books on Bayesian Statistics

 

Selected Articles

    Freisthler, Bridget, and Robert Weiss. "Using Bayesian Space-Time Models to Understand the Substance Use Environment and Risk for Being Referred to Child Protective Services. "Substance Use & Misuse. 43. 2 (2008): 239-251.

    Tzala, Evangelia, and Nicky Best. "Bayesian Latent Variable Modelling of Multivariate Spatio-Temporal Variation in Cancer Mortality." Statistical Methods in Medical Research. 17. 1 (2008): 97-118.


 

Courses in WinBugs