Statistical Analysis of Environmental Space-Time Processes

This book provides a broad introduction to the fascinating subject of environmental space-time processes; addressing the role of uncertainty. Within that context, it covers a spectrum of technical matters from measurement to environmental epidemiology to risk assessment. It showcases non-stationary vector-valued processes, while treating stationarity as a special case. The contents reflect the authors' cumulative knowledge gained over many years of consulting and research collaboration. In particular, with members of their research group, they developed within a hierarchical Bayesian framework, the new statistical approaches presented in the book for analyzing, modeling, and monitoring environmental spatio-temporal processes. Furthermore they indicate new directions for development.

This book contains technical and non-technical material and it is written for statistical scientists as well as consultants, subject area researchers and students in related fields.

First encounters.- Case study.- Uncertainty.- Measurement.- Modelling.- Covariances.- Classical approaches.- Bayesian kriging.- Hierarchical methods.- Multivariate modelling.- Network design.- Extremes.- Risk assessment.- R tutorial.