Abstract
More and more attentions have been paided to the quality of spatial data, but still there is no such functions in conventional GIS packages. Geographic attribute errors have been discussed in several studies with the extension of reraltional data model, in which the spatiality of geographic informatin is irgnored. This paper tries to develop a new data model for uncertain spatial objects. Various uncertainties are classified into two dimensions - position and attibute which are represented by spatial membership functions in fuzzy topology space. Based on this representation, LOU data model is proposed in which topological relationships of fuzzy objects are created in Layer level, attributes are recorded in Object level and fuzziness of objects are refered to Unit level. Methods of spatial analyses like map overlay by LOU model are also discussed.
