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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 |