Geostatistics for Natural Resources Evaluation - Goovaerts, Pierre (Department of Civil & Environmental Engineering U
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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…mehr

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Produktbeschreibung
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.
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Autorenporträt
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.