基于位置和属性特征信息的多源数据融合

Multi-Source Data Fusion Based on Spatial and Attribute Property

利用来源于地理国情普查和高德POI数据源的两组北京市小学数据,基于空间位置和名称属性进行数据匹配。数据经过坐标统一、数据删重等预处理后,以空间位置接近、名称属性相似为原则,进行数据融合分析。结果表明地理国情普查数据和高德POI数据的可匹配占比均为71%。城区范围内空间不匹配和属性不匹配占比近似,郊区范围内空间位置不匹配情况高于属性不匹配。

Data matching based on spatial location and attribute property using two sets of Beijing primary school data from geographical conditions monitoring and AutoNavi POI data sources.Both of the datasets are processed through unifying coordinate system and censoring repeating at first,then data analysis and compare are carried out by the principle of spatial location approach and similar attribute property.The result shows the matching percentage of geographical conditions monitoring and POI data is respectively about 71%.The proportion of spatial location and attribute property mismatching is nearly approximate in the urban area,while spatial location mismatching takes the great proportion in the suburban.