Watch Alan Gelfand, co-author of Hierarchical Modeling and Analysis for Spatial Data speak at the JSM2011.
Presents an up-to-date, fully Bayesian treatment of modeling for spatial and spatio-temporal data sets
Focuses on more practical matters--modeling, computing, applications-- rather than formal mathematics
Provides overviews of spatial data and the hierarchical Bayesian approach that make strong previous exposure to Bayesian methods unnecessary
Contains exercises in each chapter, with related computer code and data on a supporting Web page
Includes brief tutorials on using S+SpatialStats, geoR, and WinBUGS software for Bayesian modeling