论文--中国科学院地理科学与资源研究所

论文

论文题目：	Fine-scale population spatialization data of China in 2018 based on real location-based big data
第一作者：	Chen Mingxing, Xian Yue, Huang Yaohuan, Zhang Xiaoping etc.
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发表年度：	2022
摘　　要：	Accurate location-based big data has a high resolution and a direct interaction with human activities, allowing for fine-scale population spatial data to be realized. We take the average of Tencent user location big data as a measure of ambient population. The county-level statistical population data in 2018 was used as the assigned input data. The log linear spatially weighted regression model was used to establish the relationship between location data and statistical data to allocate the latter to a 0.01 degrees grid, and the ambient population data of mainland China was obtained. Extracting street-level (lower than county-level) statistics for accuracy testing, we found that POP2018 has the best fit with the actual permanent population (R-2 = 0.91), and the error is the smallest (MSEPOP2018 = 22.48
英文摘要：
刊物名称：	SCIENTIFIC DATA
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论文类别：	SCI