Geostatistics for Environmental Scientists (eBook)

Richard Webster, Margaret A. Oliver (Autoren)

eBook Download: PDF

2007 | 2. Auflage
330 Seiten
John Wiley & Sons (Verlag)
978-0-470-51726-0 (ISBN)

Infos

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.

Autor

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.

Inhalt

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

Rezensionen

"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)

Produkt-Details

• Erscheint lt. Verlag: 22.10.2007
• Reihe/Serie: Statistics in Practice
• Reihe/Serie: Statistics in Practice
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
• Themenwelt: Technik
• Schlagworte: Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle • Applied Probability & Statistics - Models • Geostatistik • Statistics • Statistics for Social Sciences • Statistik • Statistik in den Sozialwissenschaften
• ISBN-10: 0-470-51726-3 / 0470517263
• ISBN-13: 978-0-470-51726-0 / 9780470517260