Modeling uncertainty in geographic information and analysis

Science in China, Series E: Technological Sciences

Volumn 51, Issue SUPPL. 1, 2008, Pages 38-47

  Shi, WenZhong ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Quality control; Spatial analysis; Spatial data; Spatial model; Uncertainty

Indexed keywords

C (PROGRAMMING LANGUAGE); COMMUNICATION; CUSTOMER SATISFACTION; DYNAMIC MODELS; EARTH SCIENCES; INDUSTRIAL ENGINEERING; INFORMATION MANAGEMENT; INFORMATION TECHNOLOGY; KNOWLEDGE MANAGEMENT; MARKETING; MATHEMATICAL MODELS; MECHANICS; PROBLEM SOLVING; QUALITY ASSURANCE; QUALITY CONTROL; QUALITY FUNCTION DEPLOYMENT; RESEARCH; TOTAL QUALITY MANAGEMENT;

DATA QUALITY (DQ); GEOGRAPHIC INFORMATION; GEOGRAPHIC OBJECTS; MODELING UNCERTAINTIES; SPACE AND TIME; SPATIAL ANALYSES; SPATIAL DATA; SPRINGER (CO); UNCERTAINTY MODELING;

UNCERTAINTY ANALYSIS;

EID: 44949253298     PISSN: 10069321     EISSN: 1862281X     Source Type: Journal    
DOI: 10.1007/s11431-008-5019-0     Document Type: Article

References (18)

1. Longley P A, Goodchild M F, Maguire D J, et al. Geographical Information Systems, Principles and Technical Issues. New York: John Wiley & Sons, 1999
2. Shi W Z. Principle of Modeling Uncertainties in Spatial Data and Analysis. Beijing: Science Press, 2005
3. Shi W Z. Modeling Positional and Thematic Uncertainties in Integration of Remote Sensing and Geographic Information Systems. Holland: ITC Publication, 1994
4. Shi W Z. A generic statistical approach for modeling error of geometric features in GIS. Int J Geogr Syst Inf Sci, 1998, 12: 131-143
5. Shi W Z, Liu W B. A stochastic process-based model for the positional error of line segments in GIS. Int J Geogr Syst Inf Sci, 2000, 14: 51-66
6. Shi W Z, Tong X H, Liu D J. An approach for modeling error of generic curve features in GIS. Acta Geodaetica et Cartographica Sinica, 2000, 29: 52-58
7. Shi W Z, Cheung C K, Tong X H. Modeling error propagation in vector-based overlay spatial analysis. ISPRS J Photogramm, 2004, 59(1-2): 47-59
8. Shi W Z, Cheung C K, Zhu C Q. Modeling error propagation in vector-based buffer analysis. Int J Geogr Syst Inf Sci, 2003, 17(3): 251-271
9. Cheung C K, Shi W Z. Estimation of the positional uncertainty in line simplification in GIS. Cartography J, 2004, 41(1): 37-45
10. Zhu C Q, Shi W Z, Li Q Q, et al. Estimation of average DEM accuracy under linear interpolation considering random error at the nodes of TIN model. Int J Remote Sens, 2005, 26(24): 5509-5523
11. Shi W Z, Li Q Q, Zhu C Q. Estimating the propagation error of DEM from higher-order interpolation algorithms. Int J Remote Sens, 2005, 26(4): 3069-3084
12. Kidner D B. Higher-order interpolation of regular grid digital elevation models. Int J Remote Sens, 2003, 24: 2981-2987
13. Zhang J X, Goodchild M. Uncertainty in Geographic Information. London: Taylor and Francis, 2002
14. Tong X H, Shi W Z, Liu D J. A least squares-based method for adjusting the boundaries of area objects. Photogramm Eng Rem S, 2005, 71(2): 189-195
15. Shi W Z, Shaker A. The Line-Based Transformation Model (LBTM) for image to image registration of high-resolution satellite image data. Int J Remote Sens, 2006, 27(14): 3001-3012
16. Shi W Z, Shaker A. Analysis of terrain evaluation effects on IKONOS imagery rectification accuracy by using non-rigorous models. Photogramm En Rem S, 2003, 69(12): 1359-1366
17. Shaker A, Shi W Z, Barakat H. Assessment of the rectification accuracy of Ikonos imagery based on two-dimensional models. Int J Remote Sens, 2005, 26(4): 719-731
18. Shi W Z, Tian Y. A hybrid interpolation method for the refinement of regular grid digital elevation model. Int J Geogr Syst Inf Sci, 2006, 20(1): 53-67