数据集(库)目录

出版期刊|区域分类

2021年第12期
2019年第02期
数据详情

全球城市扩展模拟数据集(1992-2050,V1.0)


刘志锋1,2应嘉禾1,2何春阳*1,3,4黄庆旭1,2白巧贤1,2潘鑫豪1,2
1 北京师范大学地表过程与资源生态国家重点实验室,北京1008752 北京师范大学地理科学学部自然资源学院,北京1008753 北京师范大学环境演变与自然灾害教育部重点实验室,北京1008754 应急管理部-教育部减灾与应急管理研究院,北京100875

DOI:10.3974/geodb.2024.06.05.V1

出版时间:2024年6月

网页浏览次数:3517       数据下载次数:110      
数据下载量:2616.05 MB      数据DOI引用次数:

关键词:

城市扩展,全球,1992-2050年,建成区,城市化

摘要:

作者整合全球建设用地和城市中心位置数据,重建了全球1992-2020年城市扩展过程;利用土地利用情景变化动力学-城市模型,模拟了五种社会经济路径下全球2020-2050年城市扩展过程,得到全球1992-2050城市扩展模拟数据集。基于历史数据的精度评价表明,该模型模拟结果的Kappa系数为0.88。本数据集内容包括:(1)1992-2020年逐年全球历史城市建成区范围;(2)2025-2050年每五年全球未来城市建成区预测范围。数据集的空间分辨率为1 km,存储格式为.tif,一共由383个数据文件组成,数据量为498 MB(压缩为1个文件,23.7 MB)。该数据集的数据论文拟发表在《全球变化数据学报(中英文)》2024年第8卷。

基金项目:

中华人民共和国科学技术部(2019YFA0607203)

数据引用方式:

刘志锋, 应嘉禾, 何春阳*, 黄庆旭, 白巧贤, 潘鑫豪. 全球城市扩展模拟数据集(1992-2050,V1.0)[J/DB/OL]. 全球变化数据仓储电子杂志(中英文), 2024. https://doi.org/10.3974/geodb.2024.06.05.V1.

参考文献:


     [1] Seto, K. C., Güneralp, B., Hutyra, L. R. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools [J]. Proceedings of the National Academy of Sciences. 2012, 109: 16083-16088.
     [2] Wu J., Urban ecology and sustainability: the state-of-the-science and future directions [J]. Landscape Urban Planning, 2014, 125: 209-221.
     [3] Klein, G, K., Beusen, A., Doelman, J., et al. Anthropogenic land use estimates for the holocene - HYDE 3.2 [J]. Earth System Science Data, 2017, 9(2): 927-953.
     [4] Chen, G, Z., Li, X., Liu, X, P., et al. Global projections of future urban land expansion under shared socioeconomic pathways [J]. Nature Communication, 2020, 11(1): 12.
     [5] Gao, J., O’Neill, B. C. Mapping global urban land for the 21st century with data-driven simulations and shared socioeconomic pathways. Nature Communication, 2020: 2302.
     [6] He, C., Liu, Z., Gou, S., et al. Detecting global urban expansion over the last three decades using a fully convolutional network [J]. Environmental Research Letters, 2019, 14: 034008.
     [7] He, C., Liu, Z., Wu, J., et al. Future global urban water scarcity and potential solutions. Nature Communications, 2021, 12: 4667.
     [8] ESA. Land Cover CCI Product User Guide Version 2 [J]. Technical Report, 2017.
     [9] Florczyk, A.; Corbane, C., et al. GHS-UCDB R2019A - GHS Urban Centre Database 2015, multitemporal and multidimensional attributes [Z]. European Commission, Joint Research Centre (JRC), 2019, https://doi.org/10.2905/53473144-b88c-44bc-b4a3-4583ed1f547e.
     [10] Department of Economic and Social Affairs Population Dynamics. 2018 Revision of World Urbanization Prospects [Z]. United Nations, 2018, https://population.un.org/wup.
     [11] Chen, S., Huang, Q., Muttarak, R. et al. Updating global urbanization projections under the Shared Socioeconomic Pathways [J]. Scientific Data, 9, 2022, 137. https://doi.org/10.1038/s41597-022-01209-5.
     [12] Jeffrey, J. D., Dean B. G., Global multi-resolution terrain elevation data 2010 [Z]. Earth Resources Observation and Science (EROS) Center, 2018. https://lta.cr.usgs.gov/GMTED2010.
     [13] Wieder, W. R., Boehnert, J., Bonan, G. B., et al. Regridded harmonized world soil database v1.2 [Z]. ORNL DAAC, Oak Ridge, Tennessee, USA.
     [14] Global Self-consistent, Hierarchical, High-resolution geography database [Z]. National Centers for Environmental Information, 2017. https://www.ngdc.noaa.gov/mgg/shorelines/.
     [15] Schneider, A., Jost, A., Coulon, C., et al. Global scale river network extraction based on high-resolution topography and constrained by lithology, climate, slope, and observed drainage density [J], Geophysical Research Letter, 2017, 44. DOI: 10.1002/2016GL071844.
     [16] 全球道路数据[DB]. 资源环境科学数据平台, http://www.resdc.cn/data.aspx?DATAID=207.
     [17] 全球地面气象观测历史数据集[DB]. 国家气象科学数据中心, http://data.cma.cn/data/detail/dataCode.
     [18] He, C., Okada, N., Zhang, Q., et al. Modelling dynamic urban expansion processes incorporating a potential model with cellular automata [J]. Landscape and Urban Planning, 2020, 86, 79-91.
     [19] Huang, M., Wang, Z.C., Pan, X.H., et al. Delimiting China's urban growth boundaries under localized shared socioeconomic pathways and various urban expansion modes [J]. Earth's Future, 2022, 10: e2021EF002572.
     

数据下载:

序号 数据名 数据大小 操作
1 GlobalUrbanExpansion1992-2050_1.0.rar 24353.05KB
主管单位