Format:
1 Online-Ressource (xx, 249 pages)
,
digital, PDF file(s)
ISBN:
9780511626166
Content:
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
Content:
1. Introduction -- 2. Exploratory data analysis -- 3. Intrinsic model -- 4. Variogram fitting -- 5. Anisotropy -- 6. Variable mean -- 7. More linear estimation -- 8. Multiple variables -- 9. Estimation and GW models -- A. Probability theory review -- B. Lagrange multipliers -- C. Generation of realizations
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Additional Edition:
ISBN 9780521583121
Additional Edition:
ISBN 9780521587471
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9780521583121
Language:
English
DOI:
10.1017/CBO9780511626166
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