100m分辨率年龄分层人口估计从2020年中国人口普查按乡镇 (ASPECT)
Yang Ju1, Ying Liang1, Jinyu Kong2
1School of Geography and Ocean Science, Nanjing University, Nanjing, China.
Scientific data
|June 21, 2025
概括
一个新的数据集,来自2020年中国乡镇人口普查 (ASPECT) 的年龄分层人口估计,提供了1亿分辨率人口数据. ASPECT为环境和公共服务研究提供了更高的准确性和详细的年龄结构.
科学领域:
- 环境科学环境科学
- 人口统计学 人口统计学
- 地理空间分析是什么?
背景情况:
- 网格化人口数据集对于环境和人类互动建模至关重要.
- 当前的数据集通常依赖于汇总的人口普查数据,限制了细微的准确性.
- 需要具有详细年龄结构的高分辨率人口数据.
研究的目的:
- 从2020年中国人口普查按乡镇 (ASPECT) 数据集引入年龄分层人口估计.
- 为2020年提供100米分辨率的网格化人口数据.
- 与现有数据集相比,提高人口估计的准确性和详细年龄结构.
主要方法:
- 利用了2020年中国人口普查的数据,在乡镇层面 (最小可用的空间单位).
- 估计的总人口和按年龄组划分的人口 (0-14,15-59,60-64,≥65).
- 为网格化人口数据实现了100米的空间分辨率.
主要成果:
- 开发了ASPECT,这是2020年中国的高分辨率网格化人口数据集.
- ASPECT包含了几乎所有乡镇 (40,718) 的数据,提高了县级数据集的准确性.
- 数据集揭示了人口年龄结构的更大的空间变化.
结论:
- ASPECT为网格化人口估计提供了更高的准确性.
- 在ASPECT中详细的年龄结构允许更精确地评估人口对环境危害的暴露.
- 增强的人口数据有助于更好地估计获得公共服务的机会.
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