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 Based on papers from the 2004 NASA/ONR Circulation Control Workshop, this collection is an invaluable, one-of-a-kind resource on the state of the art in circulation control technologies and applications. Filling the information gap between 1986-when the last such symposium was held-and today, it summarizes the applications, experiments, computations, and theories related to circulation control, emphasizing fundamental physics, systems analysis, and applied research. The chapters presented cover a wide variety of aerodynamic and hydrodynamic applications, including naval vehicles, fixed-wing aviation, V/STOL platforms, propulsion systems, and ground vehicles.Anyone with interests in applied aerodynamics, fluid mechanics, and aircraft design will find this book of particular value, as will those seeking an up-to-date reference work on circulation control and its many current applications. 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 of a simulated deposit. This model helps students develop an understanding of how statistical tools work in real situations, and serves as a tutorial guide to help the reader through what may be their first independent geostatistical study. Though the authors have avoided mathematical formalism, the presentation is not simplistic and readers should be familiar with basic calculus and be able to find the minimum of a function by using the first derivative. This textbook for students of mining geology and engineering, demonstrates how statistical methods can be used to analyze earth science data. The authors explain how various forms of the estimation method called "kriging" can be employed for specific problems. This book presents an introduction to the set of tools that has become known commonly as geostatistics.
