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采用空间聚类、分类回归树(Classification and Regression Tree,CART)以及空间自相关等空间数据挖掘方法,在地理信息系统(Geographic Information System,GIS)平台下对京东线上手机交易记录数据进行挖掘分析.结论如下:东部地区网络消费数量远远大于中部和西部,而中部和西部网络消费数量差异不大;信息化水平以及城市化进程是区域网络消费的主要驱动力;从总体的空间差异性来看,全国网络消费呈现出较为集中的空间分异特征.从局部的空间差异性来看,西北部地区为网络消费的落后区,而北京和广东两地为网络消费的发达区.
Spatial clustering, classification and regression tree (CART) and spatial autocorrelation spatial data mining methods are used to mine mobile transaction records on the Jingdong line under the Geographic Information System (GIS) platform The conclusions are as follows: The number of internet consumption in the eastern part of China is much larger than that in the middle and the western part, while there is not much difference in the amount of consumption in the middle and western regions. The level of informationization and urbanization are the main driving forces for regional network consumption. In terms of local spatial differences, the northwestern region is a backward area for online consumption while Beijing and Guangdong are the developed regions for online consumption.