electricsheepafrica/africa-education-malawi

该数据集提供了马拉维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。为了评估教育和医疗保健的可及性，数据集利用旅行时间等时线——代表汽车在给定时间或距离内可到达区域的多边形。将这些等时线与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分钟和学校5到50公里范围内的人口。分析单位基于geoboundaries的国家边界，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、国家、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（以米为单位的距离或以秒为单位的时间）、指定范围内总人口、学龄人口数量、学龄人口累计百分比、当前距离带新增学龄人口、当前区间新增学龄人口比例、总人口累计百分比、当前距离带新增人口、当前区间人口占总人口比例等列。数据集是HeiGIT在HDX上众多导出之一，涵盖公共健康领域，观察单位为国家级汇总，总行数620，列14，地理范围MWI。This dataset provides insights into spatial accessibility to healthcare and education services across Malawi. 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. This dataset is one of many HeiGIT exports on HDX, focusing on public health domain, with country-level aggregates as unit of observation, total rows 620, columns 14, and geographic scope MWI.