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Geostatistical technology has advanced much in the last few years and many of these developments are being incorporated into the practitioner’s repertoire. This second edition describes these techniques for environmental scientists. Topics such as stochastic simulation, sampling, data screening, spatial covariances, the variogram and its modeling, and spatial prediction by kriging are described in rich detail. At each stage the underlying theory is fully explained, and the rationale behind the choices given, allowing the reader to appreciate the assumptions and constraints involved.
1 Introduction
2 Basic Statistics
3 Prediction and Interpolation
4 Characterizing Spatial Processes: The Covariance and Variogram
5 Modelling the Variogram
6 Reliability of the Experimental Variogram and Nested Sampling
7 Spectral Analysis
8 Local Estimation or Prediction: Kriging
9 Kriging in the Presence of Trend and Factorial Kriging
10 Cross-Correlation, Coregionalization and Cokriging
11 Disjunctive Kriging
12 Stochastic Simulation (new file)
Appendix A
Appendix B
References
Index
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