摘要
手机基站定位数据蕴含丰富的时空信息。设计了一种基于电信每次呼叫测量数据的可视分析方法,给出了基于每次呼叫测量数据的基站定位方法,提取手机用户的出行轨迹,对凝聚层次聚类算法进行改进,可以高效率地对轨迹进行聚类,利用流向图和热力图表示轨迹聚类结果和手机用户在某时刻的整体分布。将该方法应用于上海电信手机基站定位数据,取得了良好的效果。
Mobile phone base station location data contains rich spatio-temporal information. A visual analytic method based on per call measurement data(PCMD) was designed. A base station positioning method based on PCMD to extract mobile phone users' trajectories was designed. An agglomerate hierarchical clustering algorithm was improved to cluster trajectories efficiently. Flow map and heat map were employed to present the clustering result and the overall distribution of mobile phone users at a specific time. This method was applied to the dataset of Shanghai mobile phone base station data, which has achieved satisfied results.
出处
《大数据》
2017年第1期61-71,共11页
Big Data Research
基金
国家自然科学基金资助项目(No.61532006)
北京市自然科学基金资助项目(No.4162019)
北京市科技计划课题资助项目(No.Z161100001616004)~~
关键词
手机基站定位数据
轨迹聚类
流向图
可视分析
mobile phone base station location data
trajectory clustering
flow map
visual analyses