摘要
新兴大数据反映了人、物、信息在空间上的流动和聚集,体现了社会经济要素的动态分布和相互关系。结合自然资源部下达的2018年国家地理国情监测项目“武汉市大数据城市空间格局变化监测试点”,创新开展了“地理国情+大数据”融合研究,从城际人口流动和城市人口分布2个方面开展了武汉市人口空间格局识别,揭示了武汉市对外人口流动规模和方向,城市内部居住和就业人口分布的圈层差异、人地关系和跨江出行特征。
Emerging big data reflect the flow and aggregation of human, material and information in space, and reflect the dynamic distribution and interrelationship of socio-economic factors. Combining with Geographical Conditions Monitoring Project in 2018 "Wuhan Big Data Urban Spatial Pattern Change Monitoring Pilot Project" issued by the Ministry of Natural Resources, we innovatively carried out the fusion research on "Geographical Conditions + Big Data", which identified the spatial pattern of population in Wuhan from two aspects of inter-city population flow and urban population distribution, and revealed the scale and direction of external population flow in Wuhan, the circle difference of population distribution, the relationship between people and land, and the characteristics of cross-river travel.
出处
《地理空间信息》
2019年第10期1-6,I0006,共7页
Geospatial Information
基金
自然资源部地球观测与时空信息科学重点实验室经费资助项目(201903)
关键词
手机信令
百度热力
城际人口流动
城市人口分布
mobile signal
Baidu thermal
inter-city population flow
urban population distribution
