Spatialization Of Gdp Based On Night Light Data:a Case Study In Liaoning Province

Since the reform and opening up,China’s economy has developed rapidly.The national support policies have provided many opportunities for the economic development of Liaoning Province.However,there are still problems such as unbalanced development and inadequate resource allocation in provincial and municipal areas,which have a certain negative impact on economic development.Therefore,it is very important to study the economic level and space-time distribution characteristics of Liaoning Province for the balance of social and economic development.The traditional GDP statistics can only reflect the macroeconomic situation of a region in numerical form,while the GDP spatialization can more completely reflect the basic economic situation of the study area,and the GDP density map can intuitively reflect the differences in economic development.As the nighttime lighting data is closely related to the GDP output value,the method of sub industry modeling is used to complete the GDP spatialization of Liaoning Province based on the long time series data set.Analyzing the results of GDP spatialization can obtain the characteristics of economic development and economic space-time distribution of Liaoning Province.The research results can provide some theoretical guidance for government decision-making,strategic formulation and regional development.Taking Liaoning Province as an example,this paper explores the spatialization of GDP based on the long time series dataset of DMSP/OLS data and NPP/VIIRS data integration.The main research contents and results are as follows:(1)The DMSP/OLS night light data were preprocessed by mutual correction,saturation correction and continuity correction to obtain the DMSP/OLS Data from 1992 to 2013;The NPP/VIIRS night light data is processed by threshold method and mask method to obtain the NPP/VIIRS night light data from 2012 to 2020.After fitting the corrected DMSP/OLS Data and the NPP/VIIRS data with abnormal value processing,the continuity correction is carried out,and finally the night light data set of 1992-2020 long time series is obtained.(2)In the time dimension,the method of sub industry modeling is used to model the GDP of the primary industry in Liaoning Province Based on land use data,and the predicted value of GDP is obtained;Based on the night light index and the GDP of the secondary and tertiary industries,the best model is selected to complete the spatialization of GDP and obtain the GDP density map;Through the sum of the GDP of the primary industry and the second and third industries gdp23,the predicted value of the total GDP of Liaoning Province is obtained,and the relative error of the GDP of each industry is analyzed.The results show that the relative error of the GDP of each industry is small,and the GDP can be predicted in the time dimension.(3)On the spatial dimension,based on the regression analysis between the nighttime lighting index and the GDP output value of each prefecture level city,the best fitting equation between the nighttime lighting index and the total forecast value of GDP is obtained,the GDP density map is obtained by spatialization of GDP,and the linear regression analysis is conducted between the forecast value of GDP and the GDP statistical value of each prefecture level city to obtain the relative error of GDP of each prefecture level city.The GDP density map can intuitively and carefully reflect the GDP differences among the cities at the prefecture level.The relative error prediction results of the cities at the prefecture level are consistent with the statistical results,which is of certain reference and utilization,providing a favorable reference for the formulation of economic policies in Liaoning Province.(4)Combined with the results of GDP spatialization in the time dimension and space dimension of Liaoning Province,this paper comprehensively analyzes the characteristics of spatial economic change and the spatio-temporal law of economic development expansion in Liaoning Province,and finds that Liaoning Province forms an economic axis in coastal areas,and the economic axis context in coastal areas is clear.The economic level is higher than the inland level.The paper has 33 figures,17 tables and 87 references.