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Elements of Spatial Data Quality
- 1st Edition - October 22, 2013
- Editors: S.C. Guptill, J.L. Morrison
- Language: English
- eBook ISBN:9 7 8 - 1 - 4 8 3 2 - 8 7 9 4 - 2
Elements of Spatial Data Quality outlines the need and suggests potential categories for the content of a comprehensive statement of data quality that must be imbedded in the me… Read more
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Request a sales quoteElements of Spatial Data Quality outlines the need and suggests potential categories for the content of a comprehensive statement of data quality that must be imbedded in the metadata that accompanies the transfer of a digital spatial data file or is available in a separate metadata catalog. Members of the International Cartographic Association's Commission on Spatial Data Quality have identified seven elements of data quality: positional accuracy, attribute accuracy, completeness, logical consistency, lineage, semantic accuracy and temporal information. In the book the authors describe: components of each data quality element, possible metrics that can be used to measure the quality of each criteria, possible testing and rating schemes, and how these parameters might differ from a producer or user point of view. Finally no volume of this nature would be complete without a chapter devoted to necessary future research in this subject area. The chapter points out areas in need of further investigation and speculates about the use and transfer of digital spatial data in tomorrow's electronic world and at developments in presenting specified data quality information in a visualization. This book will be of interest to all of those individuals involved in geographical information systems and spatial data handling.
For all involved with geographic information systems and digital spatial data collection.
Foreword. Preface. List of contributors. Spatial data quality (J.L. Morrison). Lineage (D.G. Clark, D.M. Clark). Positional accuracy (J.E. Drummond). Attribute accuracy (M.F. Goodchild). Completeness (K. Brassel et al.). Logical consistency (W. Kainz). Semantic accuracy (F. Salgé). Temporal information (S.C. Guptill). An evaluation matrix for geographical data quality (H. Veregin, P. Hargitai). Looking ahead (S.C. Guptill, J.L. Morrison).
36 illus., 25 line drawings, 203 lit. refs.
- Language: English
- Edition: 1
- Published: October 22, 2013
- Imprint: Pergamon
- eBook ISBN: 9781483287942
SG
S.C. Guptill
Affiliations and expertise
Scientific Advisor, US Geological Survey, Reston, VA 22092, USAJM
J.L. Morrison
Affiliations and expertise
Chief, Geography Division, US Bureau of the Census, Washington DC 20233, USARead Elements of Spatial Data Quality on ScienceDirect