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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
16 Aug 2024
Data description paper |
| 16 Aug 2024
| 16 Aug 2024
A 100 m gridded population dataset of China's seventh census using ensemble learning and big geospatial data
Yuehong Chen
CORRESPONDING AUTHOR
College of Geography and Remote Sensing, Hohai University, Nanjing 211100, China
Congcong Xu
College of Geography and Remote Sensing, Hohai University, Nanjing 211100, China
Yong Ge
CORRESPONDING AUTHOR
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Xiaoxiang Zhang
College of Geography and Remote Sensing, Hohai University, Nanjing 211100, China
Ya'nan Zhou
College of Geography and Remote Sensing, Hohai University, Nanjing 211100, China
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- A 100 m gridded population dataset of China's seventh census using ensemble learning and big geospatial data Y. Chen et al. 10.5194/essd-16-3705-2024
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11 citations as recorded by crossref.
- Revealing the fireworks-set-off pattern of spatial multi-function expansion across cities leveraging big geodata – a case of the Greater Bay Area, China K. Gao et al. 10.1080/17538947.2025.2454411
- Revealing the decision-making practices in automated external defibrillator deployment: insights from Shanghai, China C. Wu et al. 10.1186/s12889-025-21341-2
- Urbanization and plant diversity in urban fringes: Differential responses across life forms L. Cao et al. 10.1016/j.jenvman.2024.123151
- Deep Network Capacitated Covering Location Model: Spatial Location-allocation Optimization of Community Healthcare Facilities in Consideration of Public Health Emergencies Z. Zhang et al. 10.1007/s12061-024-09619-1
- Cultural Heritages Lead to Less Dense and Greener Cities—Evidence from 371 Chinese Cities Z. Zhang et al. 10.3390/land14010177
- Hierarchical Recognition for Urban Villages Fusing Multiview Feature Information Z. Wang et al. 10.1109/JSTARS.2024.3522662
- Long-Term Assessment of Soil Salinization Patterns in the Yellow River Delta Using Landsat Imagery from 2003 to 2021 Y. Fu et al. 10.3390/land14010024
- Optimisation Model for Spatialisation of Population Based on Human Footprint Index Correction D. Ren et al. 10.3390/ijgi13120429
- How Does the Urban Built Environment Affect the Accessibility of Public Electric-Vehicle Charging Stations? A Perspective on Spatial Heterogeneity and a Non-Linear Relationship J. Sheng et al. 10.3390/su17010086
- Comprehensive assessment of the recent dike breach at Dongting Lake Z. Zhang et al. 10.59717/j.xinn-geo.2024.100106
- Spatiotemporal correlations of PM2.5 and O3 variations: A street-scale perspective on synergistic regulation X. Lin et al. 10.1016/j.scitotenv.2025.178578
3 citations as recorded by crossref.
- A 100 m gridded population dataset of China's seventh census using ensemble learning and big geospatial data Y. Chen et al. 10.5194/essd-16-3705-2024
- Accessibility evaluation and multi-scenario optimization of medical services in underdeveloped city driven by multi-source data and latest policies for China J. Hu et al. 10.1038/s41598-024-76518-3
- Uncovering the drivers of gender inequality in perceptions of safety: An interdisciplinary approach combining street view imagery, socio-economic data and spatial statistical modelling Y. Zhu et al. 10.1016/j.jag.2024.104230
Latest update: 04 Feb 2025
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.
Population data is crucial for human–nature interactions. Gridded population data can address...
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