Geostatistics for Natural Resources Evaluation

by Pierre Goovaerts

Overview

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.

Product Details

ISBN-13:	9780195115383
Publisher:	Oxford University Press
Publication date:	09/18/1997
Series:	Applied Geostatistics
Edition description:	New Edition
Pages:	496
Product dimensions:	6.46(w) x 9.52(h) x 1.07(d)

About the Author

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.

Table of Contents

1. Introduction2. Exploratory Data Analysis3. The Random Function Model4. Inference and Modeling5. Local Estimation: Accounting for a Single Attribute6. Local Estimation: Accounting for Secondary Information7. Assessment of Local Uncertainty8. Assessment of Spatial Uncertainty9. Summary

Editorial Reviews

"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

From the Publisher