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  <titleInfo>
    <title>Spatial and spatio-temporal geostatistical modeling and kriging</title>
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  <name type="personal">
    <namePart>Montero, José María.</namePart>
    <role>
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  <name type="personal">
    <namePart>Fernández-Avilés, Gema.</namePart>
  </name>
  <name type="personal">
    <namePart>Mateu, Jorge.</namePart>
  </name>
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  <genre authority="">Electronic books.</genre>
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    <dateIssued encoding="marc">2015</dateIssued>
    <issuance>monographic</issuance>
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  <abstract>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.</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">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.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Geology</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Kriging</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>SCIENCE</topic>
    <topic>Earth Sciences</topic>
    <topic>Geography</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>SCIENCE</topic>
    <topic>Earth Sciences</topic>
    <topic>Geology</topic>
  </subject>
  <subject authority="fast">
    <topic>Geology</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="fast">
    <topic>Kriging</topic>
  </subject>
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  <classification authority="ddc" edition="23">551.01/5195</classification>
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      <publisher>Chichester, West Sussex : John Wiley and Sons, Inc., 2015</publisher>
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