Spatial and spatio-temporal geostatistical modeling and kriging /
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 statisti...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Chichester, West Sussex, UK :
John Wiley and Sons, Inc.,
2015.
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| Series: | Wiley series in probability and statistics.
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- From classical statistics to geostatistics
- Geostatistics: preliminaries
- Structural analysis
- Spatial prediction and kriging
- Geostatistics and spatio-temporal random functions
- Spatio-temporal structural analysis (I): empirical semivariogram and covariogram estimation and model fitting
- Spatio-temporal structural analysis (II): theoretical covariance models
- Spatio-temporal prediction and kriging
- An introduction to functional geostatistics
- Appendices A: Spectral representations
- Appendices B: Probabilistic aspects of
- Basic theory on restricted maximum likelihood
- Most relevant proofs (Chapter 7)
- Bibliography and further reading
- Index
- Supplemental Images
- Wiley Series in Probability and Statistics.