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
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
€77.99
A propos de l’auteur
José-María Montero and Gema Fernández-Avilés, Department of Statistics, University of Castilla-La Mancha, SpainJorge Mateu, ¯ Department of Mathematics, University Jaume I of Castellon, Spain
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Langue Anglais ● Format EPUB ● Pages 400 ● ISBN 9781118762424 ● Taille du fichier 38.4 MB ● Maison d’édition John Wiley & Sons ● Publié 2015 ● Édition 1 ● Téléchargeable 24 mois ● Devise EUR ● ID 4480302 ● Protection contre la copie Adobe DRM
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