Data about positions attributes and relationships of features in space are often termed as spatial data. Spatial data quality is defined as the concept of 'fitness for use'. Data sharing and data integration are evitable consequence of the widespread availability of Geographic Information System (GIS) technologies due to the high initial cost of establishing a spatial database. Because spatial data is transferred and shared by many users, the data must be trustworthy and useful. To ensure that existing digital data is appropriately used, the data producer must provide documentation about the history of spatial data. In addition, data developers and users have begun to document and implement data quality measurements which allow judgment to be made about spatial data.

1. Danko, D. , 2000. ISO 19115 Geographic Information - Metadata, ISO/TC211 Geographic information/Geomatics.
2. . Devillers, R. and Beard, K. , 2006. Communciation and Use of Spatial data Quality Information in GIS. Fundamentals of Spatial Data Quality. ISTE, London, 237-250 pp
3. Hunter, G. J. et al. , 2005. Next-Generation Research Issues in Spatial Data Quality,Proceedings of SSC 2005 Spatial Intelligence, Innovation and Praxis, Melbourne. .
4. Minton S. , Nanjo C. , Knoblock C. , Michalowski M. ,and Michelson M. (2005) ?A Heterogeneous Field Matching Method for Record Linkage" The Fifth IEEE International Conference on Data Mining
5. Yang, T. , 2007. Visualisation of Spatial Data Quality for Distributed GIS, The University of New South Wales, Sydney, 199 pp.

Spatial Data Spatial Data Quality Geo- Graphic Information System