This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science.

Topics Covered
Disease Mapping , statistical issues , epidemiological issues , Bayesian ideas and modelling , Bayesian Computation and alternatives , McMC sampling , MH and Gibbs sampling , R graphics; mapping tools; , intro to simple BHMs , examples of simple BUGS code; R2OpenBUGS; , gamma-Poisson; , lognormal , convolution , Nimble; , demo of Nimble , SC respiratory cancers data , WAIC , variable selection , CARBayes intro , INLA intro , command-based fitting , BHMs , SC respiratory cancers , Space-time , Nimble , clustering in space , clustering in space-time , descriptive models , Space-time mechanistic , infectious disease (ID) , Q&A with Andrew Lawson