A Population Grid Method Based on Nighttime Light Data and Spatial Regression Model
In order to improve the accuracy of regional resident population regression results,and to represent the distribution characteristics of population within regions,towns,streets,and smaller scales within cities,the Lixiahe area is taken as the research area.Based on the 2020 DMSP-OLS nighttime light data simulated by NPP-VIIRS,combined with land use/cover data,township and street resident population statistics data,a spatial regression model is used to model the resident population of each city and county,and accuracy verification and results correction are carried out.Finally,a high-precision population grid method is obtained.The re-sults show that:1)The correlation between the cumulative value of nighttime light intensity in Lixiahe area and demographic data is 0.874 7(P＜0.01),which indicates a high correlation coefficient.Choosing the quadratic function with the highest correlation coefficient as the opti-mal model,the spatial regression model has a better simulation effect.2)Based on the differ-ent residual values of each spatial unit after accuracy testing,a segmented function is used to correct the population grid results.Thus,the population distribution map drawn can more spe-cifically and accurately depict the true distribution of the population.3)In towns and rural areas with small population and density,simulating NPP-VIIRS data as DMSP-OLS nighttime light data can result in smaller population spatial regression errors compared to directly using NPP-VIIRS data.
nighttime light dataspatial regression modelpopulation grid methodLixiahe area
万方数据
维普
