Fundamentals of Spatial Data Quality (eBook)

Rodolphe Devillers, Robert Jeansoulin (Herausgeber)

eBook Download: PDF

2010 | 1. Auflage
310 Seiten
John Wiley & Sons (Verlag)
978-0-470-39481-6 (ISBN)

Infos

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.

Autor

Rodolphe Devillers, Geography Department of Memorial University of Newfoundland, Canada Robert Jeansoulin, Center of Mathematics and Computer Sciences of University of Provence, France

Inhalt

Foreword.

Introduction.

Chapter 1. Development in the Treatment of Spatial Data Quality
(Nicholas Chrisman).

Chapter 2. Spatial Data Quality: Concepts (Rodolphe Devillers
and Robert Jeansoulin).

Chapter 3. Approaches to Uncertainty in Spatial Data (Peter
Fisher, Alexis Comber and Richard Wadsworth).

Chapter 4. Quality of Raster Data (Serge Riazanoff and Richard
Santer).

Chapter 5. Understanding the Nature and Magnitude of Uncertainty
in Geopolitical and Interpretative Choropleth Maps (Kim
Lowell).

Chapter 6. The Impact of Positional Accuracy on the Computation
of Cost Functions (Alfred Stein and Pepijn Van Oort).

Chapter 7. Reasoning Methods for Handling Uncertain Information
in Land Cover Mapping (Alexis Comber, Richard Wadsworth and Peter
Fisher).

Chapter 8. Vector Data Quality: A Data Provider's
Perspective (Jenny Harding).

Chapter 9. Spatial Integrity Constraints: A Tool for Improving
the Internal Quality of Spatial Data (Sylvain Vallières, Jean
Brodeur and Daniel Pilon).

Chapter 10. Quality Components, Standards and Metadata, Sylvie
Servigne (Nicolas Lesage and Thérèse Libourel).

Chapter 11. Spatial Data Quality Assessment and Documentation
(Jean-François Hangouët).

Chapter 12. Communication and Use of Spatial Data Quality
Information in GIS (Rodolphe Devillers and Kate Beard).

Chapter 13. External Quality Evaluation of Geographical
Applications: An Ontological Approach (Bérengère Vasseur,
Robert Jeansoulin,

Rodolphe Devillers and Andrew Frank).

Chapter 14. A Case Study in the Use of Risk Management to Assess
Decision Quality (Gary Hunter and Sytze De Bruin).

Chapter 15. On the Importance of External Data Quality in Civil
Law (Marc Gervais).

Appendix. Quality, and Poem Alike.

List of Authors.

Index.

Produkt-Details

• Erscheint lt. Verlag: 12.1.2010
• Vorwort: Michael F. Goodchild
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
• Themenwelt: Technik
• Schlagworte: Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle • Applied Probability & Statistics - Models • Geographie • Geography • GIS, Fernerkundung u. Kartographie • GIS, Remote Sensing & Cartography • Statistics • Statistik
• ISBN-10: 0-470-39481-1 / 0470394811
• ISBN-13: 978-0-470-39481-6 / 9780470394816