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In this introductory text the authors demonstrate how simple statistical methods can be used to analyze earth science data. In clear language, they explain how various forms of the estimation method called kriging can be employed for specific problems. The book highlights an instructive case study of a simulated deposit. This model helps students develop an understanding of how statistical tools work in real situations, and serves as a tutorial guide to help the reader through what may be their first independent geostatistical study. Though the authors have avoided mathematical formalism, the presentation is not simplistic and readers should be familiar with basic calculus and be able to find the minimum of a function by using the first derivative.
This text investigates how fundamental statistical methods can be applied to analyze and interpret complex earth science data. Authors Edward H. Isaaks and R. Mohan Srivastava provide a practical framework for geostatistics, specifically focusing on the application of kriging techniques to spatial data. By prioritizing conceptual understanding over excessive mathematical formalism, the authors aim to bridge the gap between theoretical statistics and practical geological problem-solving. The book utilizes a simulated deposit case study to guide students through the mechanics of independent geostatistical analysis.
What You Will Find
Experts and academics frequently cite this work as a foundational text for students entering the field of geostatistics. Readers note that while the prose is accessible, a working knowledge of basic calculus remains a prerequisite for successfully navigating the technical examples provided.
Page Count:
592
Publication Date:
1990-01-11
Publisher:
Oxford University Press
ISBN-10:
0195050126
ISBN-13:
9780195050127
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