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Geostatistics for Engineers and Earth Scientists - Ricardo A. Olea

Geostatistics for Engineers and Earth Scientists

Hardcover Published: 31st May 1999
ISBN: 9780792385233
Number Of Pages: 303

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Engineers and earth scientists are increasingly interested in quantitative methods for the analysis, interpretation, and modelling of data that imperfectly describe natural processes or attributes measured at geographical locations. Inference from imperfect knowledge is the realm of classical statistics. In the case of many natural phenomena, auto- and cross-correlation preclude the use of classical statistics. The appropriate choice in such circumstances is geostatistics, a collection of numerical techniques for the characterization of spatial attributes similar to the treatment in time series analysis of auto-correlated temporal data. As in time series analysis, most geostatistical techniques employ random variables to model the uncertainty that goes with the assessments. The applicability of the methods is not limited by the physical nature of the attributes. This book presents a concise introduction to geostatistics with an emphasis on detailed explanations of methods that are parsimonious, nonredundant, and through the test of time have proved to work satisfactorily for a variety of attributes and sampling schemes. Most of these methods are various forms of kriging and stochastic simulation. The presentation follows a modular approach making each chapter as self-contained as possible, thereby allowing for reading of individual chapters, reducing excessive cross-referencing to previous results and offering possibilities for reviewing similar derivations under slightly different circumstances. Guidelines and rules are offered wherever possible to help choose from among alternative methods and to select parameters, thus relieving the user from making subjective calls based on an experience that has yet to be acquired. It is intended to assist in the formal teaching of geostatistics or as a self tutorial for anybody who is motivated to employ geostatistics for sampling design, data analysis, or natural resource characterization. Real data sets are used to illustrate the application of the methodology.

Industry Reviews

`This book ... is one of the best introductions to geostatistics. It is a perfect balance between theory and methodological considerations. ... Even the more experienced geostatisticians will read it with great pleasure and will find for it a very special place on their bookshelf. It is the kind of book that you enjoy recommending to anyone who wants a good starting point in a field. ... I very stronly recommend this book to anyone who wants to have an introductive, consistent and unbiased view of geostatistics, a discipline that urgently needs young and enthusiastic scientists with a fresh view of the problems. In this sense, this book should help us a lot, at least as much as it will help them.' P. Bogaert in Stochastic Environmental Research and Risk Assessment, 14 (2000) 'This book should be seriously considered for adoption in a graduate level course on geostatistics. Moreover, this book would make a valuable addition to any library on spatial analysis.' Mathematical Geology, July (2002)

List of Mathematical Definitions
List of Theorems
List of Corollaries
List of Lemmas
Introductionp. 1
Simple Krigingp. 7
Normalizationp. 31
Ordinary Krigingp. 39
The Semivariogramp. 67
Universal Krigingp. 91
Crossvalidationp. 115
Drift and Residualsp. 129
Stochastic Simulationp. 141
Reliabilityp. 163
Cumulative Distribution Estimatorsp. 179
Block Krigingp. 187
Ordinary Cokrigingp. 209
Regionalized Classificationp. 237
Referencesp. 261
West Lyons Field Samplingp. 267
High Plains Aquifer Samplingp. 269
UNCF Samplingp. 279
Dakota Aquifer Samplingp. 281
Author Indexp. 289
Subject Indexp. 291
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792385233
ISBN-10: 0792385233
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 303
Published: 31st May 1999
Country of Publication: NL
Dimensions (cm): 24.18 x 16.51  x 2.29
Weight (kg): 0.64