Spatial and spatio-temporal geostatistical modeling and kriging / Jose-Maria Montero, Gema Fernandez-Aviles and Jorge Mateu.
Material type: TextSeries: Wiley series in probability and statisticsPublication details: Chichester : John Wiley and Sons, Inc., c2015.Description: xxii, 357 p. : illustrations ; 24 cmISBN:- 9781118413180
- 000SB:551 23 M778
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Books | ISI Library, Kolkata | 000SB:551 M778 (Browse shelf(Opens below)) | Available | 136473 |
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000SB:551 L296 Geostatistical simulation | 000SB:551 M334 Multiple-point geostatistics : | 000SB:551 M545 Geophysical data analysis | 000SB:551 M778 Spatial and spatio-temporal geostatistical modeling and kriging / | 000SB:551 W115 Multivariate geostatistics | 000SB:551 W115 Multivariate geostatistics | 000SB:552.5 Ar792 Some methods of treating grain-size analysis data |
Includes bibliographical references and index.
1. From classical statistics to geostatistics--
2. Geostatistics: preliminaries--
3. Structural analysis--
4. Spatial prediction and kriging--
5. Geostatistics and spatio-temporal random functions--
6. Spatio-temporal structural analysis (I): empirical semivariogram and covariogram estimation and model fitting--
7. Spatio-temporal structural analysis (II): theoretical covariance models--
8. Spatio-temporal prediction and kriging--
9. An introduction to functional geostatistics--
Appendices--
Bibliography and further reading--
Index.
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.
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