Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

Zusatztext

<p>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.</p><p>This book includes:</p><ul><li>Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods.</li><li>The most innovative developments in the different steps of the kriging process.</li><li>An up-to-date account of strategies for dealing with data evolving in space and time.</li><li>An accompanying website featuring R code and examples</li></ul>

Autorenportrait

<p><b>José-María</b><b>Montero</b>and<b> Gema Fernández-Avilés,</b>Department of Statistics, University of Castilla-La Mancha, Spain</p><p><b>Jorge Mateu,</b><b></b>Department of Mathematics, University Jaume I of Castellon, Spain</p>

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