First encounters.- Case study.- Uncertainty.- Measurement.- Modelling.- Covariances.- Classical approaches.- Bayesian kriging.- Hierarchical methods.- Multivariate modelling.- Network design.- Extremes.- Risk assessment.- R tutorial.
This book provides a broad introduction to the subject of environmental space-time processes, addressing the role of uncertainty. 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. In particular, with members of their research group the authors 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.