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.
By: Montero, José María.
Contributor(s): Fernández-Avilés, Gema | Mateu, Jorge.Material type: BookSeries: Wiley series in probability and statistics: Publisher: Chichester, West Sussex, UK : John Wiley and Sons, Inc., 2015Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781118762431; 1118762436; 9781118762455; 1118762452; 9781118762424; 1118762428.Subject(s): Geology -- Statistical methods | Kriging | SCIENCE -- Earth Sciences -- Geography | SCIENCE -- Earth Sciences -- Geology | Geology -- Statistical methods | KrigingGenre/Form: Electronic books.Additional physical formats: Print version:: Spatial and spatio-temporal geostatistical modeling and kriging.DDC classification: 551.01/5195 Online resources: Wiley Online Library
Includes bibliographical references and index.
Print version record and CIP data provided by publisher.
From classical statistics to geostatistics -- Geostatistics: preliminaries -- Structural analysis -- Spatial prediction and kriging -- Geostatistics and spatio-temporal random functions -- Spatio-temporal structural analysis (I): empirical semivariogram and covariogram estimation and model fitting -- Spatio-temporal structural analysis (II): theoretical covariance models -- Spatio-temporal prediction and kriging -- An introduction to functional geostatistics -- Appendices A: Spectral representations -- Appendices B: Probabilistic aspects of -- Basic theory on restricted maximum likelihood -- Most relevant proofs (Chapter 7) -- Bibliography and further reading -- Index -- Supplemental Images -- 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.