An Introduction to Applied Geostatistics

In this book, the authors demonstrate how simple statistical methods can be used to analyze 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.
Content:
Front Matter
• Table of Contents
1. Introduction
2. Univariate Description
3. Bivariate Description
4. Spatial Description
5. The Exhaustive Data Set
6. The Sample Data Set
7. The Sample Data Set: Spatial Continuity
8. Estimation
9. Random Function Models
10. Global Estimation
11. Point Estimation
12. Ordinary Kriging
13. Block Kriging
14. Search Strategy
15. Cross Validation
16. Modeling the Sample Variogram
17. Cokriging
18. Estimating a Distribution
19. Change of Support
20. Assessing Uncertainty
21. Final Thoughts
• Bibliography
Appendices
Index