Format:
1 online resource (311 pages)
Edition:
1st ed.
ISBN:
9780470394816
Series Statement:
Geographical Information Systems Series (ISTE-GIS)
Content:
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.
Content:
Intro -- Fundamentals of Spatial Data Quality -- Table of Contents -- Foreword -- Introduction -- PART 1. Quality and Uncertainty: Introduction to the Problem -- Chapter 1. Development in the Treatment of Spatial Data Quality -- 1.1. Introduction -- 1.2. In the beginning -- 1.3. Changing the scene -- 1.3.1. Accuracy beyond position -- 1.3.2. Topology and logical consistency -- 1.3.3. Fitness for use -- 1.4. Elements of novelty -- 1.5. References -- Chapter 2. Spatial Data Quality: Concepts -- 2.1. Introduction -- 2.2. Sources and types of errors -- 2.3. Definitions of the concept of quality -- 2.3.1. Internal quality -- 2.3.2. External quality -- 2.4. Conclusion -- 2.5. References -- Chapter 3. Approaches to Uncertainty in Spatial Data -- 3.1. Introduction -- 3.2. The problem of definition -- 3.2.1. Examples of well-defined geographical objects -- 3.2.2. Examples of poorly defined geographical objects -- 3.3. Error -- 3.4. Vagueness -- 3.5. Ambiguity -- 3.5.1. Discord -- 3.5.2. Non-specificity -- 3.6. Data quality -- 3.7. Precision -- 3.8. Conclusion: uncertainty in practice -- 3.9. References -- PART 2. Academic Case Studies: Raster, Chloropleth and Land Use -- Chapter 4. Quality of Raster Data -- 4.1. Introduction -- 4.2. Geometry quality -- 4.2.1. Image reference system and modeling of the viewing geometry -- 4.2.1.1. Image reference system in matrix representation -- 4.2.1.2. Direct and inverse localization -- 4.2.1.3. Geometric transforms of images -- 4.2.1.4. Acquisition models -- 4.2.2. Definitions -- 4.2.2.1. Georeferenced image -- 4.2.2.2. Geocoded image -- 4.2.2.3. Orthorectified image -- 4.2.2.4. Check points -- 4.2.2.5. Tie points -- 4.2.2.6. Localization error -- 4.2.2.7. Mean quadratic error -- 4.2.2.8. Error vector field -- 4.2.2.9. Native projection of a map -- 4.2.3. Some geometry defects -- 4.2.3.1. Absolute localization defect.
Note:
Description based on publisher supplied metadata and other sources
Additional Edition:
ISBN 9781905209569
Additional Edition:
Erscheint auch als Druck-Ausgabe Fundamentals of spatial data quality London [u.a.] : ISTE, 2006 ISBN 1905209568
Additional Edition:
ISBN 9781905209569
Language:
English
Subjects:
Geography
Keywords:
Qualitätskontrolle
;
Daten
;
Geoinformationssystem
;
Geoinformation
;
Qualitätskontrolle
URL:
Volltext
(lizenzpflichtig)
Author information:
Goodchild, Michael F. 1944-
