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electricsheepafrica/africa-education-mali

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Hugging Face2026-04-27 更新2026-05-03 收录
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该数据集提供了马里国内医疗和教育服务的空间可达性洞察。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可驾车到达的区域多边形)与WorldPop人口数据(100米分辨率估计)叠加,计算了距离医院服务10到120分钟时间间隔内以及距离学校5到50公里距离间隔内的人口。分析单位基于geoboundaries国家边界,并在可用时汇总了更细的行政级别(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)、范围值(米或秒)、总人口、学龄人口及相关比例等变量。

This dataset provides insights into spatial accessibility to healthcare and education services across Mali. 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, which provides 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, and where available results are also summarised at finer administrative levels (ADM 1–4). 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 value (in meters or seconds), total population, school-age population, and related shares.
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electricsheepafrica
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