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electricsheepafrica/africa-education-gambia

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Hugging Face2026-04-27 更新2026-05-03 收录
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该数据集提供了冈比亚医疗和教育服务空间可及性的深入见解。它使用免费开放工具(如openrouteservice)和开放数据源(主要是OpenStreetMap)创建。为了评估教育和医疗的可及性,采用旅行时间等时线(表示汽车在给定时间或距离内可到达区域的多边形)与WorldPop人口数据(100米分辨率估计)叠加的方法。这允许计算从医院服务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。分析单位由geoboundaries国家边界定义,并在可用时在更细的行政级别(ADM 1-4)汇总结果。数据结构包括:区域或国家名称、ISO3国家代码、行政单位唯一标识符、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)、指定范围内总人口、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。数据集是HeiGIT在HDX上众多导出之一,用于研究目的。

This dataset provides insights into spatial accessibility to healthcare and education services across Gambia. 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: 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, population_interval_share. This dataset is one of many HeiGIT exports on HDX for research purposes.
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