ESDA与大数据支持下的城市化发展时空格局研究——以江苏省为例  

Spatio-temporal Differentiation Pattern of Urbanization Development in Jiangsu Province Based on ESDA and Big Data

作　　者：樊文平 王鸿康 刘红平[2] 张子民 FAN Wen-ping(School of Surveying and Geo-Informatics,Shandong Jianzhu University,Jinan 250101,China)

机构地区：[1]山东建筑大学测绘地理信息学院,山东济南250101 [2]山东建筑大学理学院,山东济南250101

出　　处：《国土与自然资源研究》2020年第4期8-11,共4页Territory & Natural Resources Study

基　　金：国家自然科学基金项目(11901358);山东省社科规划项目(14DGLJ06);山东省统计科研重点课题(KT16071)。

摘　　要：基于江苏省地级市区、县(市)1999、2007及2016年的城市化率数据,结合腾讯点位大数据,运用探索性空间数据分析(ESDA)方法,对江苏省各县市城市化发展水平空间格局变化及其与人口空间分布之间的关系进行分析。结果显示:1999~2016年间,江苏省南北城市化差距逐渐增大,大致遵循南高北低逐级递减的分布格局;江苏省县市城市化发展水平的空间格局由分散变为集聚,高—高集聚主要为苏南地区,低—低集聚主要为苏北地区;江苏省城市化水平与人口热度呈正相关关系。Based on the data of urbanization rate from prefecturelevel urban areas and counties(or county-level cities)in Jiangsu Province in 1999,2007 and 2016,combined with Tengxun locational big data,exploratory spatial data analysis(ESDA)was utilized to perform analysis on spatial pattern change of urbanization level in counties and cities of Jiangsu Province as well as on its relationships with population aggregation.The results show that between 1999 and 2016,the gap of urbanization level between the North and the South of Jiangsu Province has gradually increased,generally following the distribution pattern of gradually decreasing from south to north;the spatial pattern of urbanization development level in Jiangsu Province has changed from decentralized to agglomerated,and the counties and cities of high-high agglomeration were mainly located in southern Jiangsu,while the low-low agglomeration cities mainly appeared in northern Jiangsu;the distribution of population aggregation in Jiangsu Province and that of urbanization level show roughly the same spatial pattern,and so the level of urbanization is positively correlated with population aggregation..

关 键 词：腾讯位置大数据 ESDA 城市化 时空分异格局 

分 类 号：K902[历史地理—人文地理学] F061.5[经济管理—政治经济学]