Beta-Binomial Kriging: An Improved Model for Spatial Rates

This paper will present an alternative approach to modelling spatially correlated proportions called beta-binomial kriging. The model adjusts a simpler model, binomial cokriging, to more accurately model latent beta spatial random fields as a function of observed sample proportions. Beta-binomial kriging is relatively simple compared to other models, and provides accurate predictions under a wide variety of circumstances. The approach is ideally suited for problems in epidemiology and spatial ecology where underlying probabilities of a phenomenon are of primary interest. The modeling approach will be evaluated using simulated spatial data.