Modeling uncertainty in geographic information and analysis

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.Department of Land Surveying and Geo-Informatic