Buch, Englisch, 580 Seiten, Format (B × H): 157 mm x 237 mm, Gewicht: 822 g
Buch, Englisch, 580 Seiten, Format (B × H): 157 mm x 237 mm, Gewicht: 822 g
ISBN: 978-0-19-505013-4
Verlag: OXFORD UNIV PR
In Applied Geostatistics the authors demonstrate how simple statistical methods can be used to analyse earth science data. In clear language, they explain how various forms of the estimation method called kriging can be employed for specific problems. A case study of a simulated deposit is the focus for the book. This model helps the student develop an understanding of how statistical tools work, serving as a tutorial to guide readers through their first independent geostatistical study.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
- Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Geowissenschaften Geologie Wirtschaftsgeologie
Weitere Infos & Material
Introduction; Univariate description; Bivariate description; Spatial description; The exhaustive dataset; The sample data set; The sample data set spatial continuity; Estimation; Random function models,; Global estimation; Point estimation; Ordinary Kriging; Block Kriging; Search strategy; Cross validation; Modelling the sample variogram; Cokriging; Estimating a distribution; Change of support; Assessing uncertainty; Final thoughts, appendices; Walker Lake datasets; Probabilistic models for continuous random variables
In Applied Geostatistics the authors demonstrate how simple statistical methods can be used to analyse earth science data. They explain how various forms of the estimation method called kriging can be employed for specific problems. A case study of a simulated deposit is the focus for the book. This model helps the student develop an understanding of how statistical tools work, serving as a tutorial to guide readers through their first independent geostatistical study.
