面向数据集成的城市空间数据内涵与特征分析

GIS对空间对象及其关系表达能力的增强以及多源数据集成应用的需要,不仅扩大 了城市空间数据的内涵,而且推动了城市空间数据集成研究.城市空间数据涉及多个学科,主要来源于航空遥感与摄影测量、勘探量测、内插推算和社会统计,可分 为地上、地表、地下3个空间层次类型.城市空间数据具有离散非连续、构造约束、零散分 布、信息隐含和体特征等特殊性,并存在多语义、多尺度和实体拓扑特征.城市空间数据具有灰白二象性,地下空间数据可以灰、白相互转化.

The Connotation and Features of Urban Spatial Data for Data Integration

Spatial data integration and digital city is two of the important issues of recent Gig application and geo-information sdenee research. The strengthening for the representation of spatial object and its relations in GIS and the extending of the application demands for the integration of multiple data sources have not only extended the connotation of urban spatial data but also promoted the research on urban spatial data integration. Urban area is a special,complex and comprehensive activity space for human beings,and its spatial data are related to many different disciplines. The chief sources for urban spatial data include remote sensing and photo,ammerry, surveying and investigation, interpolation and calculation, and social statistics. The urban space could be divided into three parts, i.e. ,aground,surface and underground part. Hence, the urban spatial data can be classified as ground data, surface data and underground data. Urban spatial data have the features of discrete,discontinuous,structural constraint,odd distribution,information implication and three dimensions. The multi- semantics,multi- scale and entity topology are of extreme importance. It is pointed out based on gray theory that the urban spatial data have dualistic nature of gray and white, and the underground data could be changed from gray to white or from white to gray.