An Introduction to Applied Geostatistics [Paperback]

Edward H. Isaaks (Author), R. Mohan Srivastava (Author)

Book Description

ISBN-10: 0195050134 | ISBN-13: 978-0195050134 | Publication Date: January 11, 1990

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.

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 Technology

An 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.

Product Details

• Paperback: 592 pages
• Publisher: Oxford University Press, USA (January 11, 1990)
• Language: English
• ISBN-10: 0195050134
• ISBN-13: 978-0195050134
• Product Dimensions: 9.2 x 6.1 x 1.1 inches
• Shipping Weight: 1.8 pounds (View shipping rates and policies)
• Average Customer Review: 3.9 out of 5 stars  See all reviews (10 customer reviews)
• Amazon Best Sellers Rank: #288,445 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

21 of 22 people found the following review helpful:

5.0 out of 5 stars Excellent introduction into the field, June 21, 1999

By 

James Long (Chicago, IL) - See all my reviews
(REAL NAME)   

This review is from: An Introduction to Applied Geostatistics (Paperback)

This book does an excellent job outlining the theoretical background and applications of geostatistics. After an overview and explanation of a concept (often involving some mathematical notation) the authors drop back and give an "intuitive" approach to the subject that I find incredibly beneficial.

I am a self-taught student of geostats, and this book is my tutor. While I would prefer some formal instruction to augment this text, the text is excellent and a must-read for any student of the field.

20 of 22 people found the following review helpful:

5.0 out of 5 stars Very good introduction to Geostatistics, November 15, 2000

By 

Neil Fordyce - See all my reviews

This review is from: An Introduction to Applied Geostatistics (Paperback)

This book is an excellent introduction to the somewhat difficult field of geostatistics. The examples in the book are based on the analysis of a digital elevation model transformed into data variables. This approach works very well and the explanatory text is very readable and understandable. Initially I thought that the math would make difficult reading but I am pleased to be wrong. The basics of Geostatistics can be understood from this book without having to translate the formulae ! An alternative very quick introduction to Geostatistics may be found in Burrough and McDonnell - Principles of Geographical Information Systems pp 132-161. My background is in Geology & GIS.

10 of 13 people found the following review helpful:

5.0 out of 5 stars Well written, comprehensive and approachable, February 1, 1999

By A Customer

This review is from: An Introduction to Applied Geostatistics (Paperback)

This book is a great book for people seeking to understand geostatistics, without the painfull math associated with the topic. The text is well written, with usfull examples in each chapter.