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陆地扫描全球30秒年度全球网格人口数据集2000年至2022年
Viswadeep Lebakula1, Kelly Sims2, Andrew Reith1
1Oak Ridge National Laboratory, Oak Ridge, USA.
Scientific data
|March 25, 2025
概括
土地扫描全球 (LSG) 数据集提供了详细的全球人口分布,有助于风险评估和应急响应. 这个公开可用的数据集使用先进的方法来绘制人类人口的地图,用于关键的应用.
科学领域:
- 地理信息科学 地理信息科学
- 人口统计学 人口统计学
- 地理空间数据科学数据科学
背景情况:
- 陆地扫描全球 (LSG) 数据集是理解人类人口分布的关键资源.
- 20多年来,它已被各种组织用于风险评估和应急响应.
- 最近的进展包括从2000年起对LSG数据集的公开发布.
研究的目的:
- 详细介绍LandScan Global (LSG) 数据集开发背后的方法.
- 突出地空间科学和机器学习在创建全球网格化人口数据集中的应用.
- 展示LSG数据在城市弹性和灾害管理等多个领域的实用性.
主要方法:
- 开发一个多变量达西米特模型来分解人口普查计数.
- 整合辅助数据以完善行政边界内的人口分布.
- 地理空间科学和机器学习技术对地理和人口数据的应用.
主要成果:
- 一个30弧秒分辨率的全球网格化人口数据集,代表环境人类人口分布.
- 一个独特的全球数据集,反映了文化和社会经济模式,通过手动检查进行验证.
- 在许多灾难和地缘政治危机场景中,LSG数据的成功应用.
结论:
- 土地扫描全球 (LSG) 数据集是人口分布分析的重要,公开可访问的资源.
- 它的方法论结合了对称建模与地理空间和机器学习技术,确保了高质量的数据.
- LSG数据在包括应急管理,灾害响应和人类安全在内的领域显著支持科学和运营社区.
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