Field based Models for Positional and Attribute Uncertainty
Zhang Jingxiong, Du Daosheng (National Laboratory for Information Engineering in Suvevying, Mapping and Remote Sensing, Wuhan Technical University of Surveying and Mapping,Wuhan,Hubei,430079)
With increasing development and applications of Geographical Information Systems, issues of uncertainty are receiving wide concerns. Positional uncertainty and attribute uncertainty have been commonly discussed in isolation and with no accounts for inner differences. This paper seeks to develop a consistent framework for describing and handling these two kinds of uncertainty by using field based concepts and models: for well defined and discrete objects, these two kinds of uncertainty can be combined on mathematical terms, though poised for discussion individually; for poorly defined geographical phenomena, these two kinds of uncertainty coexist in form of continua, with positional uncertainty discernible from (as spatial reflection) attribute uncertainty.