GIS中空间对象的不确定性研究

重点讨论了空间数据不确定性的概念、模型及研究方法，建议用目标模型和场模型来分别表示两类不同的空间对象，论述了空间统计学、模糊集理论、粗集理论、遗传算法、反思模型关数据不确定性研究中的应用，并给出了若干应用例子。

Study on Uncertainties of Spatial Objects in GIS

The current technologies in geographical information systems (GIS) allow us to acquire and integrate spatial information from different sources. Further development of GIS technologies is to handle not only spatial geometry information but also fuzzy and knowledge information. The concept, modeling and representation of spatial objects with uncertainties were emphatically discussed. Uncertain objects in reality include two major types, i.e. uncertainty due to imprecision and that due to randomness. Therefore the two types of spatial objects may be represented by object model and field model respectively. In order to characterize, model and represent uncertain objects, some methods of nonlinear sciences such as geostatistics, fuzzy set theory, rough set theory, genetic algorithm and inverse thought model were investigated. Finally, some practical applications were given.