整合四类数据构建月度全球食物不安全统一数据库
A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling
- 融合四大权威数据源，统一行政单元标准
- 每月更新，覆盖全球范围，支持长期监测
- 助力预测模型开发，适合政策与救援决策者
食物安全是复杂多维概念，全面衡量极具挑战。有效预警、监测和缓解粮食危机需及时全面的全球数据。本文提出开放共享的综合食物不安全数据集（HFID），整合了四种关键数据：综合粮食安全阶段评估（IPC）/协调框架（CH）阶段、粮食预警系统网络（FEWS NET）IPC兼容阶段，以及世界粮食计划署（WFP）的食物消费得分（FCS）和简化应对策略指数（rCSI）。HFID按月更新，采用统一行政区划参考体系，具备广泛的空间与时间覆盖。该数据集为粮食安全专家和人道主义机构提供统一资源，用于分析食物安全状况，并揭示全球数据差异。科学界也可利用HFID开发数据驱动的预测模型，提升未来粮食危机预警与防范能力。
原文摘要 · Abstract (English)
Food security is a complex, multidimensional concept challenging to measure comprehensively. Effective anticipation, monitoring, and mitigation of food crises require timely and comprehensive global data. This paper introduces the Harmonized Food Insecurity Dataset (HFID), an open-source resource consolidating four key data sources: the Integrated Food Security Phase Classification (IPC)/Cadre Harmonisé (CH) phases, the Famine Early Warning Systems Network (FEWS NET) IPC-compatible phases, and the World Food Program's (WFP) Food Consumption Score (FCS) and reduced Coping Strategy Index (rCSI). Updated monthly and using a common reference system for administrative units, the HFID offers extensive spatial and temporal coverage. It serves as a vital tool for food security experts and humanitarian agencies, providing a unified resource for analyzing food security conditions and highlighting global data disparities. The scientific community can also leverage the HFID to develop data-driven predictive models, enhancing the capacity to forecast and prevent future food crises.
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