Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

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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 examplesJosAc-MarAƒa Montero, Gema FernAƒAindez-AvilAcs, Jorge Mateu ... As in the spatial case (Section 3.8), fitting a semivariogram (or covariogram) model can be done by eye (manual fitting), using ... based on the semivariogram cloud (see Section 3.8.2), which shares some of the best properties of the LS and ML based methods.

Title:Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
Author: José M. Montero, Gema Fernández-Avilés, Jorge Mateu
Publisher:John Wiley & Sons - 2015-08-19

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