Spatiotemporal series dataset of population density in Chongqing - multifactor fusion model (2000-2015)


The data set first uses the multi factor fusion model to spatialize the population of Chongqing in 2010. Through the analysis of the correlation between factors and population and the actual situation, four factors, namely terrain, traffic, night light and NDVI, are selected as the impact factors of the simulated population, and industrial site factors are introduced. This paper verifies the accuracy of the population simulation results of the multi factor fusion model with the help of the township data of the sixth population census. The correlation coefficient is 0.836. In the error verification on the township scale, there are nearly 70% of the township accuracy is above 70%, and the simulation effect is already good. With this method, the spatial distribution simulation results of Chongqing's population in 2000, 2005 and 2015 are obtained. The spatial resolution of this dataset is 25m * 25m. The specific inversion method is referred to the literature "Spatial simulation of population in mountain cities based on GIS and multi-source data (master's thesis)".


File naming and required software

The dataset consists of a folder containing the spatial simulation results of Chongqing's population density in the four years of 2000/2005/2010/2015. The folder is named in Chinese and the file is named as "POP-DEN Year. tif".


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Li, Y. (2022). Spatiotemporal series dataset of population density in Chongqing - multifactor fusion model (2000-2015). Upper Yangtze River Scientific Data Center, (Download the reference:

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Geographic coverage
East: 110.41 West: 105.28
South: 28.07 North: 32.31
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 1km - 10km
  • File size: 5,240 MB
  • Views: 211
  • Downloads: 0
  • Access: Requestable
  • Temporal coverage: 2000-01-01 To 2015-12-31
  • Updated time: 2022-10-17
Contacts
: LI Yuechen   

Distributor: 重庆金佛山喀斯特生态系统国家野外科学观测研究站数据中心

Email: data@westdc.cn

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