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Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

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Wiley Series in Probability and Statistics

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

José-María Montero | Gema Fernández-Avilés | Jorge Mateu

Mathematics / Probability & Statistics / General

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

José-María Montero and Gema Fernández-Avilés, Department of Statistics, University of Castilla-La Mancha, Spain

Jorge Mateu,Department of Mathematics, University Jaume I of Castellon, Spain


Publication Date: 24 August 2015
Publisher: Wiley
Imprint: Wiley
ISBN-13: 9781118413180
Format: Hardback
Page Count: 400
Weight (oz): 23.84

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