Mooney Peter, Galván Edgar
Naturally Inspired Computation Research Group, Department of Computer Science, National University of Ireland Maynooth, Ireland.
Naturally Inspired Computation Research Group, Department of Computer Science, Hamilton Institute, National University of Ireland Maynooth, Ireland.
MethodsX. 2023 Oct 11;11:102426. doi: 10.1016/j.mex.2023.102426. eCollection 2023 Dec.
NetworkX are probably the most popular approaches in industry for creating hapefiles (Geospatial Vector Data In this study,•We outline a flexible method that can be used to easily create graphical network representations in NetworkX or using road network topology data stored in ESRI Shapefiles• successfully transform the ESRI Shapefile data into the compatible format for graph analysis libraries like OSMnx and NetworkX.• without distorting the actual structure of the graph.This method will allow efficiencies of different sizes and topologies. This method could benefit, but is not limited to, research areas such as Advanced Transportation Systems (ATS), Graph Neural Networks (GNN), Multi-Objective Genetic Algorithms, to mention a few.
在行业中，NetworkX可能是创建shapefile（地理空间矢量数据）最流行的方法。在本研究中，•我们概述了一种灵活的方法，可用于轻松地在NetworkX中创建图形网络表示，或使用存储在ESRI Shapefile中的道路网络拓扑数据•成功地将ESRI Shapefile数据转换为与OSMnx和NetworkX等图形分析库兼容的格式。•而不会扭曲图形的实际结构。此方法将允许处理不同大小和拓扑的效率。此方法可能有益于，但不限于，诸如先进交通系统（ATS）、图神经网络（GNN）、多目标遗传算法等研究领域，仅举几例。
