基于微博签到的江西省居民活动空间分布可视化表达及人口结构分析  

Visualization and Population Structure Analysis Based on Micro-blog Signature in Jiangxi

作　　者：万颖桦 程朋根[1,2,3] 林淇昕 杨超 WAN Yinghua;CHENG Penggen;LIN Qixin;YANG Chao(Faculty of Geomatics,East China University of Technology,330013,Nanchang,PRC;Key Laboratory of Watershed Ecology and Geographical Environment Monitoring,National Administration of Surveying,Mapping and Geoinformation,330013,Nanchang,PRC;Guangxi Key Laboratory-of Spatial hfformation and Geomatics,541004,Guilin,Guangxi,PRC;Faculty of Information Engineering,China University of Geosciences,430000,Wuhan,PRC)

机构地区：[1]东华理工大学测绘工程学院,南昌330013 [2]流域生态与地理环境监测国家测绘地理信息局重点实验室,南昌330013 [3]广西空间信息与测绘重点实验室,广西桂林541004 [4]中国地质大学信息工程学院,武汉430000

出　　处：《江西科学》2018年第3期413-418,436,共7页Jiangxi Science

基　　金：国家重点研发计划重点专项(2017YFB0503704);广西空间信息与测绘重点实验室基金项目(16-380-25-29)

摘　　要：基于位置服务的社交平台数据的研究对于研究居民生活习惯有着重要的意义。探讨微博签到数据获取与可视化方法,以江西省微博签到数据为例,探讨了江西省居民的微博活动量的的空间分布特征、不同类别兴趣点POI(Point of Interest)微博签到数据组成成分,及其与人口的年龄结构和性别结构关系,并利用百度地图API接口、Echarts可视化图表技术进行可视化表达。Research of social platform data which is based on location-based services has a significant impact on human lives. This article probes a method of microblog checkin data acquisition and visualization. Taking microblog checkin data of Jiangxi province as example,spatial distribution characteristics of its activity and POI with different catefories of its components are discussed. And the relationship among microblog activities,age structure and sex structure of population is studied as well.The visualization can be displayed in virtue of Baidu map API interface and Echarts visual chart technology.

关 键 词：微博签到数据 空间分布 兴趣点(POI) Echarts图 PHP JSON 

分 类 号：P208[天文地球—地图制图学与地理信息工程]