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About this book
Contents
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About this book
Advanced level text which covers both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modelling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation.
Contents
1. Exploratory Data Analysis; 2. The Random Functions Model; 3. Inference and Modeling; 4. Local Estimation: Accounting for a Single Attribute; 5. Local Estimation: Accounting for Secondary Information; 6. Assessment of Local Uncertainty; 7. Assessment of Spatial Uncertainty; 8. Summary
Customer Reviews
By: Pierre Goovaerts
483 pages, Figs, tabs
"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, N
