electricsheepafrica/africa-education-togo

该数据集提供了多哥国内医疗和教育服务空间可达性的洞察。它使用免费开放的工具（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达性，使用了旅行时间等时线（表示汽车在给定时间或距离内可到达的区域的多边形），并与WorldPop人口数据（提供100米分辨率估计）叠加。这样可以计算距离医院服务10到120分钟和距离学校5到50公里范围内的人口。分析单位由geoboundaries国家边界定义，并在可能的情况下在更细的行政级别（ADM 1-4）上汇总结果。数据集包含860行数据，分为训练集（688行）和测试集（172行）。数据特征包括地理信息、标识符/元数据和其他变量。数据集存在一些局限性，如OSM数据完整性、人口估计准确性等。This dataset provides insights into spatial accessibility to healthcare and education services across Togo. 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 used. These isochrones are overlaid with WorldPop population data, which provides 100m-resolution estimates. This allows for the 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 summarized at finer administrative levels (ADM 1–4). The dataset contains 860 rows of data, split into a training set (688 rows) and a test set (172 rows). Data features include geographic information, identifiers/metadata, and other variables. The dataset has some limitations, such as OSM data completeness and population estimate accuracy.