electricsheepafrica/africa-demographics-equatorial-guinea

该数据集提供了赤道几内亚在行政二级区域（ADM2）的全面风险评估指标，特别用于洪水灾害的结构化风险评估。它包括人口统计、环境、基础设施、可及性和灾害相关数据，以支持灾害风险和韧性分析。所有数据层均来自HeiGIT的GAIA管道，整合了基于HDX COD-AB边界的开放数据源，如WorldPop、OpenStreetMap和Google Earth Engine。数据集包含多个指标类别：服务可及性（如人口在特定距离或时间内到达教育设施和医院的比例）、设施数量（如教育设施、医院和初级医疗机构的数量）、应对能力（结合服务可及性和设施数据）、人口统计（按年龄和性别划分的人口组成）、农村人口（农村地区的人口统计）、脆弱性（结合人口统计和农村人口指标）以及洪水暴露（在30厘米水深下不同重现期的人口和设施暴露情况）。数据集以表格形式呈现，总共有32行数据，分为25行的训练集和6行的测试集，适用于机器学习任务。

This dataset provides comprehensive Risk Assessment Indicators for Equatorial Guinea, aggregated at admin level 2 and can in particular be used to perform a structured risk assessment for flood hazards. It includes demographic, environmental, infrastructure, accessibility, and hazard-related data to support disaster risk and resilience analysis. All layers are derived from HeiGIT’s GAIA Pipeline, integrating open data sources such as WorldPop, OpenStreetMap, and Google Earth Engine based on HDX COD-AB boundaries. The dataset includes multiple indicator categories: Access to Services (e.g., population within defined distances or travel times to educational facilities and hospitals), Facilities (e.g., counts of educational facilities, hospitals, and primary healthcare facilities), Coping Capacity (combining Access to Services and Facilities data), Demographics (population composition by age and gender), Rural Population (demographic breakdown for rural areas), Vulnerability (combining Demographics and Rural Population indicators), and Flood Exposure (population and facility exposure to flooding at 30 cm depth for multiple return periods). The dataset is presented in tabular format with a total of 32 rows, split into 25 rows for training and 6 rows for testing, suitable for machine learning tasks.