全球数据集包括70亿个具有社会经济特征的个体
Marijn J Ton1, Michiel W Ingels2, Jens A de Bruijn2,3
1Institute for Environmental Studies (IVM); Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. marijn.ton@vu.nl.
Scientific data
|October 7, 2024
概括
一个新的全球综合人口数据集,GLOPOP-S,为2015年提供了详细的家庭和个人特征. 这个开源资源通过捕捉人口异质性来帮助全球影响建模,以便更好地进行风险和政策分析.
科学领域:
- 计算社会科学 计算社会科学
- 人口统计学 人口统计学
- 地理空间分析的研究.
背景情况:
- 全球影响模型需要详细的人口数据来理解各种行为反应.
- 现有的数据集往往缺乏细节性,以捕捉个人和家庭的异质性.
- 准确的人口统计数据对于政策制定和风险评估至关重要.
研究的目的:
- 推出GLOPOP-S,这是2015年全球第一个合成人口数据集.
- 为全球影响建模提供具有个人和家庭属性的综合数据集.
- 为了分析影响人口行为的社会经济和环境因素.
主要方法:
- 合成重建技术应用于卢森堡收入研究 (LIS) 和人口和健康调查 (DHS) 的微数据.
- 整合国家调查数据与区域统计数据,以考虑空间差异.
- 在缺乏微数据的国家开发数据生成方法.
主要成果:
- 创建GLOPOP-S,一个合成人口数据集,包含2015年超过19亿户家庭和73亿个人.
- 包括诸如年龄,教育,性别,收入,定居点类型和家庭特征等属性.
- 在行政单位1级的数据可用性,可根据地区或国家下载.
结论:
- GLOPOP-S为全球人口特征提供了前所未有的细节水平.
- 该数据集是全球影响建模,流行病学和社会经济政策分析研究人员的宝贵开源资源.
- GLOPOP-S能够更准确地模拟人口对各种全球挑战的反应.
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