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Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide.

Print Price: $192.50

Format:
Hardback
496 pp.
100 illus., 236 mm x 160 mm

ISBN-13:
9780195115383

Publication date:
August 1997

Imprint: OUP US


Geostatistics for Natural Resources Evaluation

Pierre Goovaerts

Series : Applied Geostatistics

This text fulfills a need for an advanced-level work covering both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation. It also details the theoretical background underlying most GSLIB programs. The tools are applied to an environmental data set, but the book includes a general presentation of algorithms intended for students and practitioners in such diverse fields as soil science, mining, petroleum, remote sensing, hydrogeology, and the environmental sciences.

Reviews

  • "A thorough and up-to-date overview of the theory and practice of modern geostatistics for an audience that is more than the usual devotees from mining and oil exploration. . . .What I liked about the book is its clear explanations of often difficult material, and the generous use of comparisons and clear rules on how to proceed which make it much easier than it first seems." --Earth Science Reviews
  • "...I feel that this tome is a valuable reference for anyone interested in, or actively involved with, geostatistics. Instructors will certainly find the book a useful classroom reference..."--Journal of Geoscience Education
  • "It is an excellent, concise introduction and review for the different and new aspects of geostatistics....The figures and illustrations throughout the book are abundant, clear, and impressive....The book is a must for anyone involved in geostatistical work or teaching a class in this subject." --American Association of Petroleum Geologists Bulletin
  • "Authoritative." --The Leading Edge
  • "This is the third book in the Applied Geostatistics series by Oxford University Press. Goovaerts has succeeded in blending practical applications with appropriate rigor and recent contributions in applied geostatistics. Overall, the book is divided into nine chapters that follow the sequence of data analysis that a practitioner might apply to a multivariate chemical and geological data set.. . . a valuable reference for the practical application of geostatistics and particularly for kriging."--Journal of Environmental Quality
  • "Data in environmental science are inevitably distributed in space and/or time. Geostatistical techniques developed in the 1960s in response to the need to predict ore resources from limited spatial sampling have come to be widely adopted in environmental science. Particular soil scientists have been at the forefront of such applications and Pierre Goovaerts has been a leading exponent. To date most of the literature on geostatistics has been in scientific journals and the publication of a substantial text on the subject is to be welcomed. It is very much an advanced text, designed for graduate students or research staff. . . . This is a book for the shelves of libraries in institutions where there are graduate-level courses in the subject or where research workers need detailed guidance on geostatistics."--Progress in Environmental Science
  • "Every decade or so, as knowledge about geostatistical concepts has developed and evolved, a book has appeared that has seemed to uniquely define the discipline at that point in time. This is one of those books, providing a remarkable synthesis of all that this field of study is about and has become over the last 10 years. It is clearly the best overall presentation of geostatistical theory and methodology currently available today. As a teaching resource, the book provides comprehensive coverage of all the major geostatistical topics of both current and historical interest. This book is unmistakably the leader in its field today, and it will likely be so throughout most of the decade to come. Anyone seriously engaged in the development and practice of geostatistical methodology will want to have a copy close at hand. Goovaerts is to be commended for his tireless efforts in producing a volume that should stand the test of time." -- Timothy Coburn, Technometrics, Nov 2000, Vol 42, No 4

1. Introduction
2. Exploratory Data Analysis
3. The Random Function Model
4. Inference and Modeling
5. Local Estimation: Accounting for a Single Attribute
6. Local Estimation: Accounting for Secondary Information
7. Assessment of Local Uncertainty
8. Assessment of Spatial Uncertainty
9. Summary

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Dr. Pierre Goovaerts is assistant professor in the Department of Civil and Environmental Engineering, the University of Michigan, Ann Arbor. He earned his Ph.D. in agricultural sciences at the Universite Catholique de Louvain in Belgium and he has been postdoctoral fellow in the Department of Geological and Environmental Sciences at Stanford University.

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