The Spatialization of Urban Planning Big Data and Its Using Methods
The article reduces the urban big data to 7 types, introduces the effect of the spatialization of some typical urban big data, which include public Transport Smart Card Data, traffic monitoring, population and economic census, position information of the mobile terminals, micro-blog, presents two basic spatialization methods, and proposes that spatialization is an effective method in using urban big data. Then the article sums up four main utilization methods based on spatialization: 1) visualization of big data’s content, 2) spatial analyzing such as spatial character analysis, pattern analysis, spatial relationships and genetic analysis, trend analysis and prediction, evaluation and so on, 3) information integration between big data, 4) spatial query on urban big data.
Urban planningBig dataSpatializationUsing methodTypes of urban big dataTypes of spatial analysis
国家科技期刊平台
NSTL
万方数据
维普
