摘要
以辽宁省大连市五区人群时空聚集为研究对象,基于大数据方法研究其空间特征,并进行简要的影响因素分析,以此提出大连市在城市空间结构方面存在的问题。使用基于ArcMap的百度热力图采集软件,爬取了工作日、休息日两天热力图数据,通过与地图数据的叠合,找出人口聚集的集中区域,分析人群的时空聚集特征;通过与其他数据的叠加,分析人口在不同用地的聚集特征。研究发现,大连市五区人群聚集随时间变化存在明显规律,与其他城市比较存在个性特征。
Taking the population space-time convergence in the five districts,Dalian,Liaoning Province as the research object,the spatial characteristics were studied based on the big data method,and the influential factors were analyzed to find the problems of urban spatial structure in Dalian.ArcMap-based Baidu thermal map acquisition software was used to acquire the heat map data on the working day and rest day for two days,through the overlapping with the map data,this article finds out the concentrated area of population gathering,and analyzes the characteristics of population space-time convergence,through the overlapping with other data,this article analyzes the convergence characteristics of the population in different sites.The study found that there is a clear pattern of population convergence along the time in the five districts of Dalian,and there are personality characteristics compared with other cities.
出处
《住宅科技》
2019年第9期23-27,共5页
Housing Science
关键词
大数据
百度热力图
人群
时空聚集
big data
Baidu thermal map
population
time and space convergence