An Introduction to Applied Geostatistics

By Edward H. Isaaks, R. Mohan Srivastava

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Product Description
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 study.

Product Details
*Amazon Sales Rank: #521876 in Books
*Published on: 1990-01-11
*Original language: English
*Number of items: 1
*Binding: Paperback
*592 pages

Editorial Reviews
Review

"The book is so easy to follow that many readers may not even need formal instruction and may find it suitable for self-tutoring. Those readers already proficient in geostatistics will enjoy reading about the authors' convictions on the subject. Honors for a well-produced book also go to Oxford University Press. I predict the volume will be a standard geostatistical reference for the decade." --Mathematical Geology"An indispensable introductory and self-study book for the novice." --TGSA Today"True to its title, 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. A sample from a single, large geographic data set is used to demonstrate techniques. The exhaustive data set provides true values, permitting comparisons of true and estimated values. . . .This book could be useful to nonstatisticians who are taking a first look at geostatistics." --Journal of American Statistical Association"An introductory level text in geostatistics. Statistical concepts are presented in clear language and supported by numerous examples drawn from a large data set. Although the mathematics involved is at times rigorous, the methods presented can be assimilated by those without strong mathematical backgrounds. Will be of use to professionals working in geology and allied fields, as well as students in those areas." --The New York Public Library--New Technical Books"This book should be on every statistician's bookshelf." --Technometrics"This book is remarkable in the statistical literature and unique in geostatistics in that concepts and models are introduced from the needs of data analysis rather than from axioms or through formal derivations. Though academics will be rewarded with multiple challenges and seed ideas for new research work, the main public for this book will be undergraduates and practitioners who want to add geostatistics to their own toolbox." --Jrnl. of Canadian Petroleum TechnologyAn excellent book with insightful perspectives....Not only a discussion of techniques, it also provides a sound research methodology and a thorough example of analyzing real spatial data....The book will be an enlightening one to...graduate students and professional geographers....For the goals the book sets, the authors have successfully conveyed their message. They are to be congratulated for such a well-written book and for their contribution to statistics and science." --Geographical Analysis: An International Journal of Theoretical Geography successfully written
About the Author

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 Columbia.

Customer Reviews
This book is recommended for people who have a background in statistics

The book is recommended for people who have background in statistics. It is good book, clearly highlight important concepts in geostatistics. Perhaps, the clearest weakness in this book is the dataset used in demonstrating the presented subjects, which did not touch the reality.
As it says, that's for students

This is a introduction of how to apply geostatistics in the simulation, hardly any realy world usage. The text is easy to read, perhaps from the class scripts.
An invalid variant of mathematical statistics

Geostatistics violates the requirement of functional independence and ignores the concept of degrees of freedom. As a result, geostatistics cannot possibly provide unbiased statistical inferences such as confidence limits for metal contents and grades of reserves. Geostatisticians replaced the true variance of a distance-weighted average with the pseudo variance of a SET of degrees-of-freedom and variance-deprived functionally dependent distance-weighted averages. Those who want to embrace geostatistical thinking should first study the properties of variances as decribed in Volk's Applied Statistics for Engineers.

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