Explore the intersection of spatial statistics and public health with Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny. This comprehensive guide delves into using R-INLA for Bayesian spatial modeling, focusing on disease mapping and risk assessment.

Learn practical techniques for visualizing geospatial health data using Shiny, creating interactive web applications for data exploration. Ideal for epidemiologists, public health researchers, and data scientists. Case studies included.