摘要
文中结合郑州市2015~2019年五年间的相关数据,利用GeoDa软件分别进行全局和局部空间相关性分析,结果显示郑州市区、新郑市、巩义市、新密市、荥阳市,登封市六个地区的人均城市道路面积之间存在一定的空间相关性。又以2017年数据为例,通过建模进一步指出人均道路面积的影响因素,从模型估计的结果来看,空间滞后模型被选为最优的模型。
In this paper, the relevant data of Zhengzhou City in the five years from 2015 to 2019 are selected, and the global and local spatial correlation analysis is carried out by GeoDa software, and the results show that there is a certain spatial correlation between the per capita urban road area in Zhengzhou, Xinzheng, Gongyi, Xinmi, Xingyang and Dengfeng. Taking the 2017 data as an example, the influencing factors of per capita road area are further pointed out through modeling, and from the results of model estimation, the spatial lag model is selected as the optimal model.
作者
李淑焕
Li Shuhuan(Zhengzhou University of Industry Technology,Zhengzhou,Henan 451150)
出处
《江西建材》
2022年第7期316-318,321,共4页
Jiangxi Building Materials
关键词
城市建设用地
空间相关性
空间计量模型
Urban construction land
Spatial correlation
Spatial econometric model