摘要
长三角地区包括上海、江苏、浙江和安徽,共41个地级市。基于1995-2015年研究区统计年鉴提供的城市经济、人口和建成区面积等数据,采用城市综合空间发展指数(Urbanization Comprehensive Development,UD)与空间关联强度指数(Urbanization Spatial Correlation Intensity,UCI),确定城市的规模等级和城市间空间关联强度;对长三角地区空间发展水平及各城市间空间关系进行测度时,采用空间组合地方因子(Local Indicators of Spatial Association)集聚与极化(Tsui-Wang)指数、以及自相关分析中的Moran’s I指数;采用城市化空间增长指数(Urbanization Speed,US)反映城市整体发展状况,并基于相关分析等综合方法研发得到长三角地区城市化空间关联特征及内在机制数据集。结果表明,研究时段内研究区城市规模等级特征明显,城市化过程中空间集聚和扩散同时存在。该数据集包括:1995–2015年长三角分地区UCI数据、长三角地区Moran’s I与极化指数数据、长三角地区核心城市的经济、人口、建成区面积增长率数据、长三角地区US数据、长三角地区主要城市UD数据,采用.xlsx表格存储。数据集由1个数据文件组成,数据量为67 KB。
The Yangtze River Delta includes 41 prefecture-level cities in Shanghai,Jiangsu,Zhejiang,and Anhui provinces.On the basis of economic,population,and built-up area data from the study area,and using China’s Statistical Yearbooks,we examined the scale and strength of development of spatial correlation based on urbanization development(UD)and urbanization spatial correlation intensity(UCI).Using Moran’s I index,LISA(local indicators of spatial association)agglomeration,and the Tsui–Wang(TW)index,we analyzed the differences in spatial development and spatial relationships in the Yangtze River Delta.Urbanization speed(US)reflects the overall development of a city.Results showed that clear patterns coexist in the process of urbanization between the scale and hierarchy of regional urbanization and the level of spatial polarization and diffusion.The dataset included UCI data,Moran’s I index data,and Tsui–Wang index data relating to the Yangtze River Delta,the economic,population,and built-up area growth rate data of core cities in the Yangtze River Delta,and the US and UD data of the main cities in the Yangtze River Delta during the study period(1995–2015).The dataset is archived in.xlsx format with data size of 64 KB.
作者
李梦迪
崔耀平
刘玄
李东阳
樊琳
赵威
Li,M.D.;Cui,Y.P.;Liu,X.;Li,D.Y.;Fan,L.;Zhao,W.(Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions(Henan University),Ministry of Education,Kaifeng 475004,China;College of Environment and Planning,Henan University,Kaifeng 475004,China)
出处
《全球变化数据学报（中英文）》
CSCD
2020年第4期354-362,354-362,共18页
Journal of Global Change Data & Discovery
基金
国家自然科学基金(42071415,41671425)
河南省自然科学基金(202300410049)
关键词
空间关联
空间极化
空间扩散
时空演化
spatial correlation
spatial polarization
spatial diffusion
spatio-temporal evolution
