Spatial and spatio-temporal geostatistical modeling and kriging / José-María Montero, Department of Statistics, University of Castilla-La Mancha, Spain, Gema Fernández-Aviles, Department of Statistics, University of Castilla-La Mancha, Spain, Jorge Mateu, Department of Mathematics, University Jaume I of Castellon, Spain. [electronic resource] Montero, José María. Fernández-Avilés, Gema. Mateu, Jorge. Geology Statistical methods. Kriging. QE33.2.S82 551.01/5195 23 Includes bibliographical references and index. Print version record and CIP data provided by publisher. 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. 2015 Text 1 online resource. http://onlinelibrary.wiley.com/book/10.1002/9781118762387 eng Wiley series in probability and statistics Wiley series in probability and statistics. Spatial and spatio-temporal geostatistical modeling and kriging. Spatial and spatio-temporal geostatistical modeling and kriging.