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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.
- Sales Rank: #929811 in Books
- Published on: 1997-09-18
- Original language: English
- Number of items: 1
- Dimensions: 6.30" h x 1.20" w x 9.30" l, 1.81 pounds
- Binding: Hardcover
- 496 pages
Most helpful customer reviews
21 of 23 people found the following review helpful.
One of very few well-written math related books
By A Customer
I picked up this book so that I could understand a geostatisical model I was using for petroleum exploration, and it did a beautiful job of laying out the conceptual framework of the math. As a geologist with not so much mathematical background, I was able to pick through the equations and derivations (which I imagine would be useful for those so inclined) to get at the actual substance. This is a surprisingly readable text for a math book, highly recommended.
5 of 5 people found the following review helpful.
A comprehensive treatment
By Weary Traveller
Please be aware that Dr Merk's comment reflects his views of *all* geostatistics that use random fields, variogram models etc. You can read his page to see his view (which I have never been able to figure out) and look at the AI-GEOSTATS archives for plenty of discussion. In Merks' view, the rest of us are either idiots, lemmings, or have been brainwashed; in most practioner's view, the sort of geostatistics taught in this book has proven to be very useful and seems theoretically-sound.
If you decide that this approach can give useful insight into the natural world (i.e. if you agree with 99% of current practicioners), and especially map and predict, than this book is a thorough, detailed treatment. The dataset is available from the author's home page and also comes with the gstat package of R, so the reader can practice all the techniques.
The sections on co-regionalization are especially strong.
Be aware the notation is somewhat non-standard but it works well, especially for complex co-regionalization equations.
6 of 7 people found the following review helpful.
THE book in geostatisctics
By URI ZACKHEM
This book is the one book one should consult in order to study and apply geostatistics. It is very comprehensive, clear and practical. It presents classical and innovative methods in geostatistics, some of them only now appearing in textbooks.
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