Accurate graphical representations of real-world systems are essential for research in fields such as transportation, urban planning, ecology, and network science. While ESRI Shapefiles are a widely used source of geospatial vector data, converting them into topologically correct and usable network format requires significant technical expertise and computational resources. To address this challenge, we present the GeoGraphNetworks data repository, which contains 110 validated spatial networks and offers comprehensive and publicly accessible spatial network resources for the road and rail networks of the United States of America and the road and river networks of Great Britain. This data repository eliminates the need for users to perform complex geospatial processing by providing workable graph representations in JSON and XLSX formats. Each network includes detailed geographic information such as node coordinates (latitude and longitude), edge connectivity, and edge lengths in kilometres. By reducing preprocessing overhead and enabling immediate application across multilingual programming environments, GeoGraphNetworks lowers technical barriers and supports reproducible, scalable spatial network research across disciplines.
Sharma et al. (Sun,) studied this question.