Geostatistical modelling with R - Patrick (University of Amsterdam Brown - Bog

This book provides a comprehensive reference for solving scientific problems with the generalized linear geostatistical model (GLGM), with an emphasis on demonstrating the accompanying software through examples. The key features of the GLGM are observed data points being independent of each other conditional on an unobserved spatial surface, values of the underlying spatial surface follow a multivariate normal distribution, and the surface is the sum of explanatory variables (fixed effects) and a random term.