Introduction to Geostatistics / P.K Kitanidis

Public ISBD Titre : Introduction to Geostatistics : Appllication to Hydrogeology Type de document : texte imprimé Auteurs : P.K Kitanidis, Auteur Editeur : Cambridge University Press Année de publication : 1997 Importance : 249p Présentation : ill Format : 24cmx16cm ISBN/ISSN/EAN : 978-0-521-58747-1 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : Geologie:06 Hydrologie Mots-clés : introduction  exploratory data analysis  intrinsic model  variogram fitting  anisotropy  variable mean  more linear estimation  multiple variables  estimation and GW models . Résumé : Engineers and applied geophysicists routinely encounter interpolation and estimation problems when analysing data from field observations. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author’s unique approach is a synthesis of classic and geostatistical methods with a focus on the most practical linear minimum-variance estimation methods, and includes suggestions on how to test and extend the applicability of such methods. The author includes many useful methods (often not covered in other geostatistics books) such as estimating variogram parameters, evaluating the need for a variable mean, parameter estimation and model testing in complex cases (e.g. anisotropy, variable mean, and multiple variables), and using information from deterministic mathematical models. Well illustrated with exercises and worked examples taken from hydrogeology, Introduction to Geostatistics assumes no background in statistics and is suitable for graduate-level courses in earth sciences, hydrology, and environmental engineering, and also for self-study Introduction to Geostatistics : Appllication to Hydrogeology [texte imprimé] / P.K Kitanidis, Auteur . - Cambridge University Press, 1997 . - 249p : ill ; 24cmx16cm. ISBN : 978-0-521-58747-1 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : Geologie:06 Hydrologie Mots-clés : introduction  exploratory data analysis  intrinsic model  variogram fitting  anisotropy  variable mean  more linear estimation  multiple variables  estimation and GW models . Résumé : Engineers and applied geophysicists routinely encounter interpolation and estimation problems when analysing data from field observations. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author’s unique approach is a synthesis of classic and geostatistical methods with a focus on the most practical linear minimum-variance estimation methods, and includes suggestions on how to test and extend the applicability of such methods. The author includes many useful methods (often not covered in other geostatistics books) such as estimating variogram parameters, evaluating the need for a variable mean, parameter estimation and model testing in complex cases (e.g. anisotropy, variable mean, and multiple variables), and using information from deterministic mathematical models. Well illustrated with exercises and worked examples taken from hydrogeology, Introduction to Geostatistics assumes no background in statistics and is suitable for graduate-level courses in earth sciences, hydrology, and environmental engineering, and also for self-study

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