In "Applied Geostatistics", the authors demonstrate how simple statistical methods can be used to analyze 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 of the book. This model helps the student develop an understanding of how statistical tools work, serving as a tutorial to guide the reader through his or her first independent geostatistical study. The text is aimed primarily at students of mining geology and engineering.
- Hardback | 580 pages
- 152.4 x 228.6 x 25.4mm | 628.22g
- 01 Feb 1990
- Oxford University Press Inc
- New York, United States
- numerous halftones, line drawings, and tables
Table of contents
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.