Statistics for Spatio-temporal Data

Despite the flurry of relatively recent research activity in spatio-temporal statistics, there are no books on spatio-temporal statistical modeling that consider the modern hierarchal perspective. The state of the literature is similar to the spatial statistics literature in the late 1980's before the introduction of Cressie's STATISTICS FOR SPATIAL DATA. The authors' goal is to present an overview of traditional spatio-temporal modeling approaches as well as the modern hierarchal perspective.

Noel Cressie, PhD, is Professor of Statistics and Director of the Program in Spatial Statistics and Environmental Statistics at The Ohio State University. A Fellow of the American Statistical Association and the Institute of Mathematical Statistics, he has published extensively in the areas of statistical modeling, analysis of spatial and spatio-temporal data, and empirical-Bayesian and Bayesian methods. He is a recipient of the R.A. Fisher Lectureship, awarded by COPSS to recognize the importance of statistical methods for scientific investigations. Dr. Cressie is an advisor for the Wiley Series in Probability and Statistics and the author of Statistics for Spatial Data, Revised Edition. Chirstopher K. Wikle, PhD, is Professor of Statistics at the University of Missouri. Dr. Wikle is a Fellow of the American Statistical Association and the author of more than 100 articles on the topics of spatio-temporal methodology, spatial statistics, hierarchical models, Bayesian methods, and computational methods for large data sets. His work is motivated by problems in climatology, ecology, fisheries and wildlife, meteorology, and oceanography.