Spatial and spatio-temporal geostatistical modeling and kriging /

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 statisti...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Montero, José María
Άλλοι συγγραφείς: Fernández-Avilés, Gema, Mateu, Jorge
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Chichester, West Sussex, UK : John Wiley and Sons, Inc., 2015.
Σειρά:Wiley series in probability and statistics.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Montero, José María. 
245 1 0 |a Spatial and spatio-temporal geostatistical modeling and kriging /  |c 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. 
264 1 |a Chichester, West Sussex, UK :  |b John Wiley and Sons, Inc.,  |c 2015. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Wiley series in probability and statistics 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record and CIP data provided by publisher. 
505 0 |a 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. 
520 |a 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. 
650 0 |a Geology  |x Statistical methods. 
650 0 |a Kriging. 
650 7 |a SCIENCE  |x Earth Sciences  |x Geography.  |2 bisacsh 
650 7 |a SCIENCE  |x Earth Sciences  |x Geology.  |2 bisacsh 
650 7 |a Geology  |x Statistical methods.  |2 fast  |0 (OCoLC)fst00940698 
650 7 |a Kriging.  |2 fast  |0 (OCoLC)fst00989128 
655 4 |a Electronic books. 
700 1 |a Fernández-Avilés, Gema. 
700 1 |a Mateu, Jorge. 
776 0 8 |i Print version:  |a Montero, José María.  |t Spatial and spatio-temporal geostatistical modeling and kriging.  |d Chichester, West Sussex : John Wiley and Sons, Inc., 2015  |z 9781118413180  |w (DLC) 2015015489 
830 0 |a Wiley series in probability and statistics. 
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