Chapter 9 Spatial modeling of geostatistical data. Malaria in The Gambia

Learning objectives:

• How to fit a geostatistical model to predict malaria prevalence in The Gambia using the stochastic partial differential equation (SPDE) approach and the R-INLA package
• How to create a triangulated mesh that covers The Gambia, the projection matrix and the data stacks to fit the model
• How to manipulate the results to obtain the malaria prevalence predictions, and 95% credible intervals denoting uncertainty.