Modeling data quality for risk assessment of GIS

Journal of Southeast University (English Edition)

Volumn 24, Issue SUPPL., 2008, Pages 37-42

  Su, Ying ^a,b   Jin, Zhanming ^b   Peng, Jie ^a  

^a INSTITUTE OF SCIENTIFIC AND TECHNICAL INFORMATION OF CHINA   (China)

^b Tsinghua University   (China)

Author keywords

Data quality; Geographical information system; Probability; Risk assessment; Spatial data quality

Indexed keywords

ALGEBRA; CABLES; COMPUTER NETWORKS; CONSTRUCTION INDUSTRY; GEOGRAPHIC INFORMATION SYSTEMS; RISK MANAGEMENT;

DATA QUALITY; GEOGRAPHICAL INFORMATION SYSTEM; PROBABILITY; SPATIAL DATA QUALITY;

RISK ASSESSMENT;

EID: 51649093486     PISSN: 10037985     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Dominguez J, Amador J. Geographical information systems applied in the field of renewable energy sources [J]. Computers and Industrial Engineering, 2007, 52(3): 322-326.
2. Winslow S D, Pepich B V, Martin J J, et al. Statistical procedures for determination and verification of minimum reporting levels for drinking water methods [J]. Environmental Science and Technology, 2006, 40(1): 281-288.
3. Pullin A S, Stewart G B. Guidelines for systematic review in conservation and environmental management [J]. Conservation Biology, 2006, 20(6): 1647-1656.
4. Choe B N, Kim Y G. Framework and workflows for spatial database generalization [J]. Transactions in GIS, 2007, 11(1): 101-114.
5. van Oort P A J, Bregt A K, de Bruin S. Detection and risk for digging activities around underground cables and pipelines: implications for spatial data quality [J]. Transactions in GIS, 2007, 11(1): 131-149.
6. Kivistu J. Estonia goes digital with GIS-based data [J]. Transmission and Distribution World, 2006, 58(5): 38;40-41.