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This text fulfills a need for an advanced-level work covering both the theory and application of geostatistics. It covers the most important areas of geostatistical methodology, introducing tools for description, quantitative modeling of spatial continuity, spatial prediction, and assessment of local uncertainty and stochastic simulation. It also details the theoretical background underlying most GSLIB programs. The tools are applied to an environmental data set, but the book includes a general presentation of algorithms intended for students and practitioners in such diverse fields as soil science, mining, petroleum, remote sensing, hydrogeology, and the environmental sciences.
This book investigates the theoretical foundations and practical applications of geostatistics for the evaluation of natural resources. Pierre Goovaerts provides a comprehensive framework for spatial data analysis, drawing upon his expertise to bridge the gap between abstract mathematical theory and real-world environmental modeling. The text serves as a technical manual for researchers and practitioners who require rigorous methods for spatial prediction and uncertainty assessment.
What You Will Find
Experts recognize this work as a foundational text for students and professionals in fields such as mining, petroleum, and hydrogeology. Readers frequently note the high level of technical density, which requires a solid background in statistics to fully utilize the provided methodologies.
Page Count:
496
Publication Date:
1997-09-18
Publisher:
Oxford University Press
ISBN-10:
0195115384
ISBN-13:
9780195115383
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