基于夜光遥感数据模拟中国经济参量方法研究

Research on Simulation of Chinese Economic Parameters Based on Nighttime Light Imagery

为了解决传统的统计学调查方法无法高效、客观地体现经济参量时空变化的问题,本文采用夜间灯光影像结合统计面板数据的方法进行经济参量的时空模拟。选取中国作为研究区域,以省级尺度为对象,分别构建1992年、2002年和2007年三年夜光遥感影像数据与社会经济参量之间的线性回归模型,判断省级尺度上夜间灯光总值与所选的经济参量之间相关性密切程度,并根据回归结果,选出地区生产总值(GDP)和第二产业生产总值(SI)作为敏感经济参量,构建相应的空间化模型。结果表明经济参量空间化模拟结果与实际状况相符合,实现了高效、客观描述经济参量时空变化,展现了夜间灯光影像模拟经济参量的优势。

In order to solve the problem that the traditional statistical investigation method cannot reflect the spatio-temporal change of economic parameters efficiently and objectively,this paper uses the nighttime lighting image combined with the statistical panel data method to simulate the spatio-temporal change of economic parameters. In this paper,the experiment is completed in three steps. Firstly,the linear regression model is determined between the remote sensing image data and the socio-economic parameters of 1992,2002and 2007 respectively with the provincial scale as the object in China. And then,according to the total nighttime light value at the provincial scale and the regression determination coefficient,the selected regional economic value (GDP) and the secondary industry gross production value (SI) are selected as sensitive economic parameters. Finally,the corresponding specialization model is constructed. The results show that the spatial simulation results of economic parameters are consistent with the actual situation,and the spatial and temporal changes of economic parameters are described efficiently and objectively,which shows the advantages of nighttime lighting image simulation economic parameters.