提出了基于兴趣点数据对城市不同区域的功能进行识别的思想,根据手机基站位置将城市划分为基本单元,对基本单元中的兴趣点统计数据提出3种处理方案,并进行了模糊聚类分析,通过带有明显类别特征的兴趣点分布与聚类结果进行重叠率计算,从而确定了区域功能.为验证方法的有效性,选取浙江省杭州市一定范围内的城市区域进行实验.实验结果表明:根据兴趣点数据对城市功能区进行识别,能较好地实现城市区域的功能划分与特征分析,有助于对城市发展作出建设性规划.%Due to the rapid development and evolution of cities , the functional area of city became different from early planning .Decision makers often did not know the current spatial structure of the city quickly and accurately .However , the data gathered from city brought some new thoughts of understanding the city life to people, people could identify urban regions of different functions from POI (Point of Interest) data.First, one could divide urban space with the locations of mobile base stations .Second , fuzzy clustering could be used to analyze the POI data which could deal with three different plans .At last, one could identify the function of the result from fuzzy clustering by the distribution of POI data with noticeable features .The method was evaluated in a certain area of Hangzhou , Zhejiang Province .The results justified that identifying urban regions of differ-ent functions from POI data succeded in dividing urban regions and feature analysis , and provided technical support for urban structure layout and land use , and provided realistic basis for effective use of urban space .
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