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This revised and updated second edition includes new chapters on temporal and point uncertainty models, as well as sampling and deterministic modeling. It presents comprehensive spatial modeling techniques in the earth sciences, highlighting original methods developed by the author. Given the challenges of data collection in this field, the book emphasizes simple, rational approaches to help readers grasp advanced methodologies. Accurate geological, hydrogeological, meteorological, and hydrological information is crucial, along with risk assessments. The text details essential spatial simulation methodologies to understand variability in features such as fracture frequencies and grain size distribution. Key techniques, especially the Kriging methodology, are outlined in an accessible manner, accompanied by unique physical approaches, field cases, and sample interpretations. Since its inception in the 1960s, Kriging has evolved into various methods, including cumulative SV (CSV) and point CSV (PCSV), applicable across different earth science domains. The book explains these techniques and their applications in modeling phenomena like geology, earthquakes, and hydrology. Alternatives to Kriging are also discussed, with clear explanations of their application steps. Additionally, it reviews simple spatial variation prediction methodologies and their connections to advanced techniques, making it a valuable resource for students, r
Buchkauf
Spatial Modeling Principles in Earth Sciences, Zekâi Şen
- Sprache
- Erscheinungsdatum
- 2016
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- (Hardcover)
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