This volume investigates the practical application of geostatistical and spatial autoregressive models to diverse thematic data sets. Authors Daniel A. Griffith and Larry J. Layne leverage their expertise in spatial analysis to provide a comparative framework for interpreting georeferenced data. By presenting benchmark analyses alongside real-world examples, the text demonstrates the methodological parallels between different spatial statistical approaches.

Experts identify this work as a practical resource for geographers and applied spatial scientists seeking to bridge the gap between theoretical models and empirical data. Readers frequently note the technical utility of the provided software code for replicating the presented analyses.