基于多源遥感数据支持下的区域经济空间格局精细化模拟研究——以济南市为例

Refined Simulation of Regional Economic Spatial Pattern Based on Multi-source Remote Sensing Data:A Case Study of Jinan City

本研究依托夜间灯光遥感数据、土地利用遥感数据、人口统计、GDP产值等数据,通过多元回归分析、地理加权回归分析、莫兰指数分析等地理统计模型方法,对2013年至2017年济南市经济空间格局分布情况开展分产业精细化模拟分析。结果表明,(1)济南市经济内部差别和局部聚集情况显著,形成了各种各样的城市形态和经济空间差异情况;(2)通过莫兰指数进行耦合发展模式分析,可知济南市形成不同类型的经济发展情况,地域特性明显。

This study based on a night light remote sensing data,land use remote sensing data,demographic,GDP data,such as through multiple regression analysis,geographically weighted regression analysis,moran index analysis and so on geographical statistical model method,the spatial pattern distribution of Jinan's economy from 2013 to 2017 was simulated and analyzed by industry.The results show that,(1)the internal differences and local agglomerations of Jinan's economy are remarkable,which has formed a variety of urban forms and economic spatial differences;(2)through the analysis of the coupling development model of Moran index,it can be seen that Jinan has formed different types of economic development,with obvious regional characteristics.