遇见数据集

electricsheepafrica/africa-education-egypt

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Hugging Face2026-04-27 更新2026-05-03 收录
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该数据集提供了埃及医疗保健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。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。分析单元基于geoboundaries国家边界,并在可用时在更细的行政级别(ADM 1–4)汇总结果。数据包括区域名称、ISO国家代码、唯一标识符、行政级别、服务类别(教育、医院或初级医疗保健)、范围类型(距离或时间)、范围值(米或秒)、指定范围内总人口、学龄人口数量、学龄人口比例、人口份额等字段。该数据集是HeiGIT在HDX上的众多导出之一,旨在支持公共健康和研究应用,但存在局限性,如OSM数据完整性、人口估计准确性、旅行时间假设和边界精度问题。

This dataset provides insights into spatial accessibility to healthcare and education services across Egypt. 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 includes fields 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, population within specified range, school-age population, population shares, and more. It is part of HeiGIT exports on HDX and supports public health and research applications, with limitations noted in OSM completeness, population estimates, travel time assumptions, and boundary precision.

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