TY  - BOOK
AU  - Montero,José María
AU  - Fernández-Avilés,Gema
AU  - Mateu,Jorge
TI  - Spatial and spatio-temporal geostatistical modeling and kriging
T2  - Wiley series in probability and statistics
SN  - 9781118762431
AV  - QE33.2.S82 
U1  - 551.01/5195 23
PY  - 2015///
CY  - Chichester, West Sussex, UK
PB  - John Wiley and Sons, Inc.
KW  - Geology
KW  - Statistical methods
KW  - Kriging
KW  - SCIENCE
KW  - Earth Sciences
KW  - Geography
KW  - bisacsh
KW  - fast
KW  - Electronic books
N1  - 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
N2  - 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
UR  - https://doi.org/10.1002/9781118762387
ER  -