geostatistics for engineers & earth scientists

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Book review Geostatistics for engineers & Earth scientists by Ricardo A. Olea Kluwer Academic Publishers; ISBN: 0792385233 Price: $135.00. Hardcover May 1999) One could wonder why a new textbook in geostatistics would have a chance to offer something new and fresh to the reader, when there are so many of them already available on the market. The answer is contained in a sentence that could not be better and more clearly summarized than by the author himself, in the introductive chapter: ``S Ï Derivations in mathematical books are unnecessarily general, resulting in a complexity that tends to intimidate the uninitiated, while explanations in geostatistical books are cryptically short ± to the point that most readers end up taking the derivations for granted.'' This single sentence is also the philosophy of this book. By keeping a constant link and a perfect balance between theoretical and methodological concerns, the book allows the novice reader to discover step by step the exciting realm of geostatistics and its applications, while others left him just desperately hungry or tired of reading mathematical developments that he would never be able to fully understand as a newcomer. As explained by the author, this textbook is the result of a long teaching experience to engineering students at the graduate level. After reading this book, I have to say that I wish I could have had the chance to be one of his student when I was struggling myself with theory as a Ph.D. student a few years ago. The requirements for reading the book is a college-level knowledge in matrix algebra, probability and statistics. I have found that in spite of its obviousness, this fact is sometimes lacking in other introductive books, that tend to present the material in such a way that the reader could wrongly believe that he will be able to grasp the basics and even the more advanced results without the necessity of having a basic level in the disciplines probability and statistics) that underlies geostatistics. By quoting the father of the discipline itself, the author reminds us wisely this important fact about geostatistics, that we tend to forget sometimes too easily: ``S Ï geo was added to the name of some classical body of knowledge to denote an application of such knowledge to the modeling and understanding of processes of interest in earth sciences and technology Matheron, 1962)''. This is by no way a devalorization of the ®eld, but on the contrary a healthy judgement, putting geostatistics in the right context of probability and statistical theory. This has sometimes been forgotten along the years and may be the origin of so many different notations and ways of presenting the theory. This led the author to emphasize that ``Nothing is standard about the notation used by geostatisticians. [S Ï ] I have tried to be consistent and avoid even more variations in geostatistical notation. All terms have been de®ned, sometimes more than once, and adhere as much as possible to usage in the Geostatistical and Multilingual Dictionary, published under the auspices of the International Association for Mathematical Geology Olea, 1991)''. The author can be proud to see that he perfectly reached his goals. The consistency of the notation is perfect and greatly helps the reader Stochastic Environmental Research and Risk Assessment 14 2000) 207±209 Ó Springer-Verlag 2000 207

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Page 1: Geostatistics for engineers & Earth scientists

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