Geostatistics for Environmental Scientists / Edition 2

by Richard Webster, Margaret A. Oliver

Overview

Geostatistics is essential for environmental scientists. Weather and climate vary from place to place, soil varies at every scale at which it is examined, and even man-made attributes – such as the distribution of pollution – vary. The techniques used in geostatistics are ideally suited to the needs of environmental scientists, who use them to make the best of sparse data for prediction, and top plan future surveys when resources are limited.

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.

Product Details

ISBN-13:	9780470028582
Publisher:	Wiley
Publication date:	11/12/2007
Series:	Statistics in Practice
Edition description:	2nd ed.
Pages:	336
Product dimensions:	6.42(w) x 9.17(h) x 0.91(d)

About the Author

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.

Table of Contents

Preface

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

What People are Saying About This

From the Publisher

"This is certainly an invaluable text for advanced undergraduate and graduate students of spatial variation and environmental research." (International Journal of Environmental and Analytical Chemistry, August 2008)

Editorial Reviews

"This is certainly an invaluable text for advanced undergraduate and graduate students of spatial variation and environmental research." (International Journal of Environmental and Analytical Chemistry, August 2008)

From the Publisher