摘要
为解决传统经济统计方式难以揭示行政单元内部经济空间格局的问题,利用夜光遥感、土地利用、人口等数据,运用多元回归和地理加权回归分析,对2015年河南省经济空间格局进行分产业精细化模拟。结果表明:(1)基于土地利用数据、农村人口数据建立的第一产业产值多元线性回归模型比基于单一土地利用数据建立的一元线性回归模型精度更高;(2)利用夜间灯光亮度总和对第二、三产业产值之和进行地理加权回归模拟,其精度比线性回归模型更高;(3)河南省经济区域差异和局部集聚特性明显,形成了多种城市形态和经济空间分布模式;(4)河南省内出现了多种经济发展模式,具有明显的地域特征,地理条件和交通区位是区域经济分异的主要影响因素。
In order to reveal the fine economic space pattern within the administrative unit,the nighttime lighting data,land use data and population data was used in the multiple regression and geographic weighted regression to simulate the refined economic spatial pattern of Henan Province in 2015.The results show:(1)The multi-linear regression model of the first industry value established by using land use data and rural population data is more accurate than the one-dimensional linear regression of single land use data;(2)The sum of the brightness of the nighttime lighting data was used to carry out a geographically weighted regression simulation of the secondary and tertiary industry values,which is more accurate than the linear regression model;(3)The regional differences and local agglomeration characteristics of economic development in Henan Province were obvious,forming a variety of urban development patterns and economic development models.(4)There are various economic development models in Henan Province,which have obvious regional characteristics.Geographical conditions and traffic locations are the main influencing factors of regional economic differentiation.
作者
李岩林
程钢
杨杰
原东方
LI Yanlin;CHENG Gang;YANG Jie;YUAN Dongfang(School of Surveying and Mapping and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454000,China;Key Laboratory of Mine Spatial Information and Technology of MNR,Henan Polytechnic University,Jiaozuo 454000,China;School of Geospatial Information,Information Engineering University,Zhengzhou 450001,China)
出处
《地域研究与开发》
CSSCI
CSCD
北大核心
2020年第4期41-47,共7页
Areal Research and Development
基金
国家自然科学基金资助项目(41001226)
教育部人文社会科学研究青年基金项目(15YJCZH018)
河南省科技攻关项目(162102210063)。
关键词
夜间灯光
土地利用数据
地理加权回归
GDP
空间化
河南省
night-time light
land use data
geographically weighted regression
GDP
spatialization
Henan Province
