Abstract

Spatialization of population statistics is an effective way to solve the problem of data fusion between statistics and natural factors. In order to solve the problems of data aging and inadequate spatial precision of population data in Inner Mongolia Bureau, this study used NPP/VIIRS night light data, residential population statistics and land use data as data sources, and selected appropriate models to simulate population spatial distribution at county level in the border area of Shanxi, Hebei and Mongolia. Based on land use data, a stepwise regression model is established to generate spatialized population data of each county in the border area, and then the accuracy of the evaluation data is tested with the standard of resident population statistics. Finally, the goal of the transformation of population statistics from administrative divisions to kilometer grids is realized.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call