04239cam a2200661 i 4500 ocn908107437 OCoLC 20170807080133.0 m o d cr ||||||||||| 150424s2015 enk ob 001 0 eng 2015016615 9781118762431 electronic bk. 1118762436 electronic bk. 9781118762455 electronic bk. 1118762452 electronic bk. 9781118762387 111876238X 1118413180 (pbk.) 9781118413180 (pbk.) 9781118762424 electronic bk. 1118762428 electronic bk. DEBSZ 449476820 DEBBG BV043397752 (OCoLC)908107437 DLC eng rda pn DLC N$T YDXCP IDEBK CDX DG1 OCLCF EBLCP DEBSZ OCLCQ COO OCLCQ N$T DEBBG KSU RECBK pcc MAIN QE33.2.S82 SCI 030000 bisacsh SCI 031000 bisacsh 551.01/5195 23 Montero, José María. 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] Chichester, West Sussex, UK : John Wiley and Sons, Inc., 2015. 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Wiley series in probability and statistics Includes bibliographical references and index. 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. Print version record and CIP data provided by publisher. Geology Statistical methods. Kriging. SCIENCE Earth Sciences Geography. bisacsh SCIENCE Earth Sciences Geology. bisacsh Geology Statistical methods. fast (OCoLC)fst00940698 Kriging. fast (OCoLC)fst00989128 Electronic books. Fernández-Avilés, Gema. Mateu, Jorge. Print version: Montero, José María. Spatial and spatio-temporal geostatistical modeling and kriging. Chichester, West Sussex : John Wiley and Sons, Inc., 2015 9781118413180 (DLC) 2015015489 Wiley series in probability and statistics. http://onlinelibrary.wiley.com/book/10.1002/9781118762387 Wiley Online Library ddc BK 208005 208005