Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 8
Articles | Volume 16, issue 8
https://doi.org/10.5194/essd-16-3705-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-3705-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 8
Data description paper
 | 
16 Aug 2024
Data description paper |  | 16 Aug 2024

A 100 m gridded population dataset of China's seventh census using ensemble learning and big geospatial data

Yuehong Chen, Congcong Xu, Yong Ge, Xiaoxiang Zhang, and Ya'nan Zhou

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Short summary
Population data is crucial for human–nature interactions. Gridded population data can address limitations of census data in irregular units. In China, rapid urbanization necessitates timely and accurate population grids. However, existing datasets for China are either outdated or lack recent census data. Hence, a novel approach was developed to disaggregate China’s seventh census data into 100 m population grids. The resulting dataset outperformed the existing LandScan and WorldPop datasets.
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