Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32325
Title: Modeling uncertainty in geographic information and analysis
Authors: Shi, W 
Keywords: Quality control
Spatial analysis
Spatial data
Spatial model
Uncertainty
Issue Date: 2008
Publisher: Science in China Press
Source: Science in China. Series E, Technological sciences, 2008, v. 51, no. SUPPL. 1, p. 38-47 How to cite?
Journal: Science in China. Series E, Technological sciences 
Abstract: Uncertainty modeling and data quality for spatial data and spatial analyses are important topics in geographic information science together with space and time in geography, as well as spatial analysis. In the past two decades, a lot of efforts have been made to research the uncertainty modeling for spatial data and analyses. This paper presents our work in the research. In particular, four progresses in the research are given out: (a) from determinedness-to uncertainty-based representation of geographic objects in GIS; (b) from uncertainty modeling for static data to dynamic spatial analyses; (c) from modeling uncertainty for spatial data to models; and (d) from error descriptions to quality control for spatial data.
URI: http://hdl.handle.net/10397/32325
ISSN: 1006-9321
DOI: 10.1007/s11431-008-5019-0
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