Geostatistics for Environmental Scientists

Geostatistics for Environmental Scientists book cover

Geostatistics for Environmental Scientists

Author(s): Richard Webster (Author), Margaret A. Oliver (Author)

  • Publisher: Wiley–Blackwell
  • Publication Date: 6 Dec. 2000
  • Language: English
  • Print length: 286 pages
  • ISBN-10: 9780471965534
  • ISBN-13: 9780471965534

Book Description

This is a concise yet comprehensive guide to statistical methods and modelling techniques useful to environmental scientists. Starting at an elementary level, the book goes on to cover more advanced techniques, such as multivariate and non-linear geostatistics. Sufficient basic theory is given for each method to enable the reader to appreciate assumptions and constraints. Numerous examples and case studies are also included.

Editorial Reviews

Review

“…a good practical guide to geostatistics…” — Computers & Geosciences, No.28, 2002

“…an excellent monograph…” — Zentralblatt MATH, Vol. 963, 2001/13

“…has an excellent focus and an effective organization…a great book for any statistician who works with environmental data…” — Technometrics, Vol. 43, No. 4, November 2001

“It is a pleasure to read, both for style and for the quality of production. I would certainly recommend it.” — European Journal of Soil Science, No.52, 2001

“an invaluable reference” — Geoderma

“has an excellent focus and an effective organization…a great book for any statistician who works with environmental data…” — Technometrics, Vol. 43, No. 4, November 2001

“this well written and thorough book must surely make the learning process easier” — Short Book Reviews, December 2001

From the Back Cover

Geostatistics is essential for modern 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 to plan future surveys when resources are limited.
* Concise but comprehensive introduction to the latest statistical techniques
* Strong emphasis on practical applications throughout
* Illustrated with worked examples from soil surveys
* Coverage of more advanced topics, such as multivariate analysis
* Contains a step-by-step summary of the procedure needed to analyse survey data
Sampling, data screening, spatial covariances, the variogram and its modelling, 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.
Environmental scentists will find this text an invaluable guide to geostatistics, and the lucid style will suit the needs of advanced undergraduates and graduate students of spatial variation and environmental science.

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