Geostatistical technology has advanced much in the last few years and many of these developments are being incorporated into the practitioners 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.

Richard Webster, Rothamsted Research, Harpenden

Dr Webster is the Senior Research Fellow at Rothamsted Research.

Margaret A. Oliver, Visiting Professor, Department of Soil Science, University of Reading
Professor Oliver has taught geostatistics, applied statistics, multivariate analysis and pedology to undergraduates and postgraduates. She also established a short geostatistics course while at the University of Birmingham, which has now been taught in several countries (e.g. Sweden, USA and Mexico). She is the author of over 70 papers and two co-authored books.

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