000			03128cam a2200397 i 4500
020			_a9781118762431 _qelectronic bk.
020			_a1118762436 _qelectronic bk.
020			_a9781118762455 _qelectronic bk.
020			_a1118762452 _qelectronic bk.
020			_z9781118762387
020			_z111876238X
020			_z1118413180 _q(pbk.)
020			_z9781118413180 _q(pbk.)
020			_a9781118762424 _qelectronic bk.
020			_a1118762428 _qelectronic bk.
040			_cCUS
072		7	_aSCI _x030000 _2bisacsh
072		7	_aSCI _x031000 _2bisacsh
100	1		_aMontero, José María.
245	1	0	_aSpatial and spatio-temporal geostatistical modeling and kriging / _cJosé-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.
260		1	_aChichester, West Sussex, UK : _bJohn Wiley and Sons, Inc., _c2015.
300			_a1 online resource.
490	1		_aWiley series in probability and statistics
505	0		_aFrom 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			_aStatistical 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	_aGeology _xStatistical methods.
650		0	_aKriging.
650		7	_aSCIENCE _xEarth Sciences _xGeography. _2bisacsh
650		7	_aSCIENCE _xEarth Sciences _xGeology. _2bisacsh
650		7	_aGeology _xStatistical methods. _2fast _0(OCoLC)fst00940698
650		7	_aKriging. _2fast _0(OCoLC)fst00989128
700	1		_aFernández-Avilés, Gema.
700	1		_aMateu, Jorge.
830		0	_aWiley series in probability and statistics.
856	4	0	_uhttps://doi.org/10.1002/9781118762387 _zWiley Online Library
942			_cEBK
999			_c208583 _d208583