Method evidence record
Bayesian Spatial Regression
Bayesian Spatial Regression embeds a spatially structured random effect into a regression framework and estimates all parameters — including spatial range and variance — through posterior inference rather than point estimation. It handles spatial autocorrelation, quantifies full predictive uncertainty, and accommodates small or irregular spatial datasets via hierarchical priors.
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Bayesian Spatial Regression
Taxonomic method record · regression-model / spatial-analysis
- Banerjee, S., Carlin, B. P., & Gelfand, A. E. (2015). Hierarchical Modeling and Analysis for Spatial Data (2nd ed.). CRC Press. · ISBN 978-1439819173
- Cressie, N. A. C. (1993). Statistics for Spatial Data (Revised ed.). Wiley-Interscience. · ISBN 978-0471002550
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