【摘要】 在GIS应用中,涉及到大量的模型应用,这些模型包括了利用GIS进行空间信息处理的大部分阶段中所用到的模型。模型处理以及分析结果往往是进行下一步应用的基础,因此模型处理结果的误差和不确定性制约了实际的GIS应用。影响空间数据处理模型的误差和不确定性的因素主要包括:定位和特征信息,制图,空间分析,空间数据库以及空间数据处理模型等所具有的误差和不确定性。主要分析了空间数据处理模型误差和不确定性的表达、来源以及分析方法。更多还原

【Abstract】 In GIS applications,we always use many models to handle spatial data,which are in general concept,including all the spatial data processing model and mathematic methods.The result of a model is the input data of the other model or is the foundation of spatial data analysis of application,the error and uncertainty in model result is a key problem in GIS applications.The error and uncertainty sources of spatial data processing model include spatial data positional information,spatial attribute information,mapping,spatial analysis,database and model itself.Here we mainly analyzed the definition,uncertainty sources and analysis methods of spatial data processing model.更多还原