Volume 6, No. 3, September 2020
General Information
- ISSN: 2395-647X (Online)
- Abbreviated Title: Int. J. Geol. Earth Sci.
- Editor-in-Chief: Prof. Marina Fernandez de la Cruz, Department of Petrology and Geochemistry, Faculty of Geological Sciences, Complutense University of Madrid, Spain
- Associate Editor: Sujitha R. Reddy, Savitha Darsha
- Executive Editor: Ms. Yoyo Y. Zhou
- DOI: 10.18178/ijges
- Abstracting/Indexing: GeoRef (Elsevier), Crossref, Google Scholar, Genamics, Eurasian Scientific Journal Index (ESJI), etc.
- E-mail questions to IJGES Editorial Office.
Population Data Spatial Analysis in the Border Area of Shanxi, Hebei and Inner Mongolia in China
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.
Index Terms—data spatialization, nighttime light, progressive regression, zonal modeling
Cite:Jianming Yu and Yuan Ma, "Population Data Spatial Analysis in the Border Area of Shanxi, Hebei and Inner Mongolia in China," International Journal of Geology and Earth Science, Vol. 6, No. 3, pp. 27-34, September 2020. doi: 10.18178/ijges.6.3.27-34