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
Despre autor
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
Cumpărați această carte electronică și primiți încă 1 GRATUIT!
Limba Engleză ● Format EPUB ● Pagini 400 ● ISBN 9781118762424 ● Mărime fișier 38.4 MB ● Editura John Wiley & Sons ● Publicat 2015 ● Ediție 1 ● Descărcabil 24 luni ● Valută EUR ● ID 4480302 ● Protecție împotriva copiilor Adobe DRM
Necesită un cititor de ebook capabil de DRM