E-Book, Englisch, 310 Seiten, E-Book
Devillers / Jeansoulin Fundamentals of Spatial Data Quality
1. Auflage 2010
ISBN: 978-0-470-39481-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 310 Seiten, E-Book
ISBN: 978-0-470-39481-6
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Drawing together chapters written by authors who are specialists in their particular field, it provides both the data producer and the data user perspectives on how to evaluate the quality of vector or raster data which are both produced and used. It also covers the key concepts in this field, such as: how to describe the quality of vector or raster data; how to enhance this quality; how to evaluate and document it, using methods such as metadata; how to communicate it to users; and how to relate it with the decision-making process. Also included is a Foreword written by Professor Michael F. Goodchild.
Weitere Infos & Material
Foreword.
Introduction.
Chapter 1. Development in the Treatment of Spatial Data Quality(Nicholas Chrisman).
Chapter 2. Spatial Data Quality: Concepts (Rodolphe Devillersand Robert Jeansoulin).
Chapter 3. Approaches to Uncertainty in Spatial Data (PeterFisher, Alexis Comber and Richard Wadsworth).
Chapter 4. Quality of Raster Data (Serge Riazanoff and RichardSanter).
Chapter 5. Understanding the Nature and Magnitude of Uncertaintyin Geopolitical and Interpretative Choropleth Maps (KimLowell).
Chapter 6. The Impact of Positional Accuracy on the Computationof Cost Functions (Alfred Stein and Pepijn Van Oort).
Chapter 7. Reasoning Methods for Handling Uncertain Informationin Land Cover Mapping (Alexis Comber, Richard Wadsworth and PeterFisher).
Chapter 8. Vector Data Quality: A Data Provider'sPerspective (Jenny Harding).
Chapter 9. Spatial Integrity Constraints: A Tool for Improvingthe Internal Quality of Spatial Data (Sylvain Vallières, JeanBrodeur and Daniel Pilon).
Chapter 10. Quality Components, Standards and Metadata, SylvieServigne (Nicolas Lesage and Thérèse Libourel).
Chapter 11. Spatial Data Quality Assessment and Documentation(Jean-François Hangouët).
Chapter 12. Communication and Use of Spatial Data QualityInformation in GIS (Rodolphe Devillers and Kate Beard).
Chapter 13. External Quality Evaluation of GeographicalApplications: An Ontological Approach (Bérengère Vasseur,Robert Jeansoulin,
Rodolphe Devillers and Andrew Frank).
Chapter 14. A Case Study in the Use of Risk Management to AssessDecision Quality (Gary Hunter and Sytze De Bruin).
Chapter 15. On the Importance of External Data Quality in CivilLaw (Marc Gervais).
Appendix. Quality, and Poem Alike.
List of Authors.
Index.




