Applied Geostatistics

Applied Geostatistics

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In Applied Geostatistics the authors demonstrate how simple statistical methods can be used to analyse earth science data. In clear language, they explain how various forms of the estimation method called kriging can be employed for specific problems. A case study of a simulated deposit is the focus for the book. This model helps the student develop an understanding of how statistical tools work, serving as a tutorial to guide readers through their first independent geostatistical more

Product details

  • Paperback | 592 pages
  • 154.94 x 233.68 x 27.94mm | 816.46g
  • Oxford University Press Inc
  • New York, United States
  • English
  • numerous halftones, line drawings and tables
  • 0195050134
  • 9780195050134
  • 414,113

Review quote

'This is a very useful book for those wishing to learn geostatistics. The book is well written ... How does this book compare with other geostatistical textbooks? I would say that it is easier to read and relatively close to the thinking of mathematical geologists on one side and mathematical statisticians on the other ... the book is highly recommended to readers who want to become familiar with geostatistical concepts and those wishing to review the state of the art in practical applications.' Frederik P. Agterberg, Ottawa, Earth-Science Reviews, 32 (1992) 'This book should be on every statistician's bookshelf, because sooner or later most statisticians will be confronted with spatially distributed data.' Technometrics, November 1991show more

About Edward H. Isaaks

Edward H. Isaaks is a member of the Department of Applied Earth Sciences, Stanford University. R. Mohan Srivastava, formerly with the Department of Applied Earth Sciences, Stanford University, is currently at FSS International, Vancouver, British more

Back cover copy

This book describes applied geostatistical methods at an introductory level. It is an easy-to-read book, aimed at undergraduates and 'practitioners' with some knowledge of calculus and elementary statistics. This book could be useful to non statisticians who are taking a first look at more

Table of contents

Introduction; Univariate description; Bivariate description; Spatial description; The exhaustive dataset; The sample data set; The sample data set spatial continuity; Estimation; Random function models,; Global estimation; Point estimation; Ordinary Kriging; Block Kriging; Search strategy; Cross validation; Modelling the sample variogram; Cokriging; Estimating a distribution; Change of support; Assessing uncertainty; Final thoughts, appendices; Walker Lake datasets; Probabilistic models for continuous random variablesshow more

Rating details

8 ratings
3.5 out of 5 stars
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4 38% (3)
3 38% (3)
2 12% (1)
1 0% (0)
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