Geostatistics for Natural Resources Evaluation

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.

List of contents

• 1: Exploratory Data Analysis


• 2: The Random Functions Model


• 3: Inference and Modeling


• 4: Local Estimation: Accounting for a Single Attribute


• 5: Local Estimation: Accounting for Secondary Information


• 6: Assessment of Local Uncertainty


• 7: Assessment of Spatial Uncertainty


• 8: Summary

About the author

Dr. Pierre Goovaerts is a senior research assistant at the Belgian Fund for Scientific Research and is currently affiliated with the Universite Catholique de Louvain in Belgium, where he earned his Ph.D. in agricultural sciences. Prior to that, he was postdoctoral fellow in the Department of Environmental and Ecological Sciences at Stanford University.

Summary

This text fulfils 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 modelling 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.

Product details

• Authors: Pierre Goovaerts, Pierre (Department of Civil & Environme Goovaerts, Pierre (Department of Civil & Environmental Engineering University of Michigan) Goovaerts, Goovaerts Pierre
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 01.09.1997
• EAN: 9780195115383
• ISBN: 978-0-19-511538-3
• No. of pages: 500
• Series: Applied Geostatistics Series; Applied Geostatistics; Applied Geostatistics
• Subjects: Natural sciences, medicine, IT, technology > Biology > Ecology; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, SCIENCE / Earth Sciences / Geology, TECHNOLOGY & ENGINEERING / Environmental / General, environmental science, engineering & technology, Geology, geomorphology and the lithosphere, Probability & statistics, Applied mathematics, Probability and statistics, Environmental science, engineering and technology, Geology & The Lithosphere