Modeling Uncertainty in the Earth Sciences
eBook - ePub

Modeling Uncertainty in the Earth Sciences

  1. English
  2. ePUB (mobile friendly)
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eBook - ePub

Modeling Uncertainty in the Earth Sciences

Book details
Table of contents
Citations

About This Book

Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling the uncertainty of complex Earth systems and the impact that it has on practical situations. The aim of the book is to provide an introductory overview which covers a broad range of tried-and-tested tools. Descriptions of concepts, philosophies, challenges, methodologies and workflows give the reader an understanding of the best way to make decisions under uncertainty for Earth Science problems.

The book covers key issues such as: Spatial and time aspect; large complexity and dimensionality; computation power; costs of 'engineering' the Earth; uncertainty in the modeling and decision process. Focusing on reliable and practical methods this book provides an invaluable primer for the complex area of decision making with uncertainty in the Earth Sciences.

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Yes, you can access Modeling Uncertainty in the Earth Sciences by Jef Caers in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Environmental Science. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2011
ISBN
9781119998716
Edition
1
Topic
Biological Sciences
Subtopic
Environmental Science
Index
Biological Sciences

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. Acknowledgements
  6. Chapter 1: Introduction
  7. Chapter 2: Review on Statistical Analysis and Probability Theory
  8. Chapter 3: Modeling Uncertainty: Concepts and Philosophies
  9. Chapter 4: Engineering the Earth: Making Decisions Under Uncertainty
  10. Chapter 5: Modeling Spatial Continuity
  11. Chapter 6: Modeling Spatial Uncertainty
  12. Chapter 7: Constraining Spatial Models of Uncertainty with Data
  13. Chapter 8: Modeling Structural Uncertainty
  14. Chapter 9: Visualizing Uncertainty
  15. Chapter 10: Modeling Response Uncertainty
  16. Chapter 11: Value of Information
  17. Chapter 12: Example Case Study
  18. Index