Geostatistics for Natural Resources Evaluation (Applied Geostatistics Series) (Hardcover)

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Editorial Reviews

Review

"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

Product Description

This book provides an advanced-level introduction to geostatistics and geostatistical methodology. The discussion includes 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.

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Product Details

• Hardcover: 496 pages
• Publisher: Oxford University Press, USA (September 18, 1997)
• Language: English
• ISBN-10: 0195115384
• ISBN-13: 978-0195115383
• Product Dimensions: 9.4 x 6.2 x 1.1 inches
• Shipping Weight: 1.6 pounds (View shipping rates and policies)
• Average Customer Review: 4.2 out of 5 stars  See all reviews (5 customer reviews)
• Amazon.com Sales Rank: #196,011 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

20 of 22 people found the following review helpful:

5.0 out of 5 stars One of very few well-written math related books, August 6, 1998

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.

3 of 3 people found the following review helpful:

5.0 out of 5 stars A comprehensive treatment, March 12, 2007

By	Weary Traveller "swampstomper" (Enschede, OV Netherlands) - See all my reviews

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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.

5 of 6 people found the following review helpful:

5.0 out of 5 stars THE book in geostatisctics, February 28, 2001

By	URI ZACKHEM (KFAR-SABA Israel) - See all my reviews

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.