electricsheepafrica/africa-education-mauritania

该数据集提供了毛里塔尼亚医疗和教育服务空间可达性的深入分析。它使用免费和开放工具（如openrouteservice）以及开放数据源（主要是OpenStreetMap）创建。为了评估教育和医疗的可达性，数据集采用旅行时间等时线——代表通过汽车在给定时间或距离内可到达区域的多边形。这些等时线与WorldPop人口数据（提供100米分辨率估计）叠加，从而计算从医院服务10到120分钟时间间隔内以及从学校5到50公里距离间隔内的人口。分析单元基于geoboundaries国家边界定义，并在可用时在更细的行政级别（ADM 1-4）总结结果。数据结构包括区域或国家名称、ISO3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）、指定范围内的人口、学龄人口数量、学龄人口份额、学龄人口区间增量、学龄人口区间份额、总人口份额、人口区间增量和人口区间份额等列。

This dataset provides insights into spatial accessibility to healthcare and education services across Mauritania. 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, we use travel-time isochrones—polygons representing areas reachable within a given time or distance by car. We overlay these isochrones with WorldPop population data, which provides 100m-resolution estimates. This allows us to calculate 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 we also summarise results at finer administrative levels (ADM 1–4). Data structure includes columns such as name, iso, id, country, admin_level, category, range_type, range, population, school_age_population, school_age_population_share, school_age_population_interval, school_age_population_interval_share, population_share, population_interval, and population_interval_share.