Geostatistics for Natural Resources Evaluation

Erscheinungsjahr 1997
ISBN: 978-0-19-511538-3
Verlag: Oxford University Press

Buch, Englisch, 496 Seiten, Print PDF, Format (B × H): 161 mm x 240 mm, Gewicht: 904 g

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.

Autoren/Hrsg.

Goovaerts, Pierre

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Geowissenschaften Geologie Geologie
• Geowissenschaften Umweltwissenschaften Umwelttechnik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Geowissenschaften Geologie GIS, Geoinformatik

Inhaltsverzeichnis

- 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

Über Autor(innen)

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.