City2Graph: A Python library for Heterogeneous Graph Neural Networks and spatial analysis in urban systems [R]

City2Graph is a Python library I built that turns geospatial data into analysis-ready graphs (for spatial analysis, network analysis, and Graph Neural Networks as GeoAI), and the paper describing it has just been published, so I wanted to share it here. Repository: https://github.com/c2g-dev/city2graph import city2graph as c2g # buildings + street segments -> heterogeneous morphological graph nodes, edges = c2g.morphological_graph(buildings, segments) # straight into PyTorch Geometric data = c2g.gdf_to_pyg(nodes, edges) What it covers: Morphology : graphs of buildings, streets, and tessellated