Spatial and Spatio-Temporal Geostatistical Modeling and Kriging: 998 (Wiley Series in Probability and Statistics)

Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R.

This book includes:

• Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods.
• The most innovative developments in the different steps of the kriging process.
• An up-to-date account of strategies for dealing with data evolving in space and time.
• An accompanying website featuring R code and examples

José-María Montero and Gema Fernández-Avilés, Department of Statistics, University of Castilla-La Mancha, Spain

Jorge Mateu,Department of Mathematics, University Jaume I of Castellon, Spain