Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
eBook - PDF

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

  1. 456 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

About this book

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t

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Information

Publisher
CRC Press
Year
2009
Print ISBN
9780367577247
Edition
1
eBook ISBN
9781420059281
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front cover
  2. Contents
  3. Foreword
  4. Preface
  5. Acknowledgments
  6. Section I: Overview
  7. Chapter 1. Introduction
  8. Chapter 2. Sources of Uncertainty in Spatial Data and Spatial Analysis
  9. Chapter 3. Mathematical Foundations
  10. Section II: Modeling Uncertainties in Spatial Data
  11. Chapter 4. Modeling Positional Uncertainty in Spatial Data
  12. Chapter 5. Modeling Attribute Uncertainty
  13. Chapter 6. Modeling Integrated Positional and Attribute Uncertainty
  14. Section III: Modeling Uncertainties in Spatial Model
  15. Chapter 7. Modeling Uncertain Topological Relationships
  16. Chapter 8. Modeling Uncertainty in Digital Elevation Models
  17. Section IV: Modeling Uncertainties in Spatial Analyses
  18. Chapter 9. Modeling Positional Uncertainties in Overlay Analysis
  19. Chapter 10. Modeling Positional Uncertainty in Buffer Analysis
  20. Chapter 11. Modeling Positional Uncertainty in Line Simplification
  21. Section V: Quality Control of Spatial Data
  22. Chapter 12. Quality Control for Object-Based Spatial Data
  23. Chapter 13. Quality Control for Field- Based Spatial Data
  24. Chapter 14. Improved Interpolation Methods for Digital Elevation Model
  25. Section VI: Presentation of Data Quality Information
  26. Chapter 15. Visualization of Uncertainties in Spatial Data
  27. Chapter 16. Metadata on Spatial Data Quality
  28. Chapter 17. The Web Service-Based Spatial Data Quality Information System
  29. Section VII: Epilogue
  30. Chapter 18. Epilogue
  31. Index
  32. Back cover

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Yes, you can access Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses by Wenzhong Shi in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.