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electricsheepafrica/africa-education-eswatini

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Hugging Face2026-04-27 更新2026-05-03 收录
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该数据集提供了斯威士兰(Eswatini)医疗和教育服务空间可达性的深入分析。它使用免费开放工具(如openrouteservice)和开放数据源(主要是OpenStreetMap)创建。通过旅行时间等时线(表示在给定时间或距离内驾车可到达区域的多边形)与WorldPop人口数据(提供100米分辨率估计)叠加,计算从医院服务10到120分钟距离和从学校5到50公里距离内的人口。分析单位基于geoboundaries国家边界,并在可用时汇总更细的行政级别(ADM 1-4)结果。数据结构包括地区名称、ISO国家代码、唯一标识符、行政级别、服务类别(教育、医院或初级医疗)、范围类型(距离或时间)、范围(米或秒)、总人口、学龄人口、学龄人口比例、人口份额等变量。数据集旨在支持公共健康和教育领域的可达性研究,并包含训练和测试分割。

This dataset provides insights into spatial accessibility to healthcare and education services across Eswatini. 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 overlaid with WorldPop population data (100m-resolution estimates). This allows calculation of 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 data structure includes variables such as region name, ISO country code, unique identifier, administrative level, service category (education, hospitals, or primary_healthcare), range type (distance or time), range (in meters or seconds), total population, school-age population, population shares, and more. The dataset supports accessibility research in public health and education and includes train and test splits.
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