In this introductory text 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. The book highlights an instructive case study o
An Introduction to Applied Geostatistics
โ Scribed by Isaaks, Edward H.; Srivastava, R. Mohan
- Publisher
- Oxford University Press
- Year
- 1989
- Tongue
- English
- Leaves
- 557
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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
๐ SIMILAR VOLUMES
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
<p><P>The third edition of this very successful text book provides an introduction to geostatistics stressing the multivariate aspects for scientists, engineers or statisticians. Geostatistics offers a variety of models, methods and techniques for the analysis, estimation and display of multivariate
Introduction to Geostatistics presents practical techniques for engineers and earth scientists who routinely encounter interpolation and estimation problems when analyzing data from field observations. Requiring no background in statistics, and with a unique approach that synthesizes classic and geo