electricsheepafrica/africa-education-angola

该数据集提供了安哥拉国内医疗和教育服务空间可达性的深入分析。它利用开放工具如openrouteservice和开放数据源如OpenStreetMap（OSM）创建，并结合WorldPop的100米分辨率人口数据，通过旅行时间等时线（表示汽车在给定时间或距离内可到达的区域的多边形）来评估教育和医疗服务的可达性。数据集包含地区名称、ISO国家代码、行政级别、服务类别、距离或时间范围、人口统计等多个变量，用于计算医院服务10到120分钟和学校5到50公里范围内的人口。数据集的单位分析基于geoboundaries的国家边界，并在可用的更细行政级别（ADM 1-4）上汇总结果。数据集分为训练集（1875行）和测试集（468行），适用于表格分类和回归等任务。This dataset provides insights into spatial accessibility to healthcare and education services across Angola. It has been created using free and open tools such as openrouteservice and open data sources, primarily OpenStreetMap (OSM). To assess accessibility to education and healthcare, travel-time isochrones—polygons representing areas reachable within a given time or distance by car—are used, overlayed with WorldPop population data for 100m-resolution estimates. This allows calculating the population within time intervals from 10 to 120 minutes away from hospital services and distance intervals from 5 to 50 km away from schools. The unit of analysis is defined by geoboundaries country borders, with results summarized at finer administrative levels (ADM 1–4) where available. The dataset is split into train (1,875 rows) and test (468 rows) sets and is suitable for tasks like tabular classification and regression.