https://doi.org/10.5281/zenodo.15858845
CITATION.cff
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "city2graph: Transform geospatial relations into graphs for spatial network analysis and Graph Neural Networks"
abstract: "city2graph is a Python library that provides an integrated interface of geospatial datasets from multiple domains converting into graph representations. It facilitates the one-stop data pipeline for spatial network analysis and Graph Neaural Networks (GNNs) for GeoAI applications."
authors:
- given-names: Yuta
family-names: Sato
email: y.sato@liverpool.ac.uk
orcid: https://orcid.org/0009-0004-7052-7163
affiliation: University of Liverpool
repository-code: "https://github.com/c2g-dev/city2graph"
url: "https://city2graph.net"
license: BSD-3-Clause
version: 0.1.6
date-released: 2025-09-22
keywords:
- GeoAI
- Graph Neural Networks
- GNN
- PyTorch Geometric
- Geospatial Analysis
- Urban Analytics
- Spatial Data Science
- Urban Mobility
- Transportation Networks
- Spatial Knowledge Graphs
- Spatiotemporal Analysis
- Geospatial Foundation Models
- Digital Twin
- Urban Informatics
- Geographic Data Science
- Graph Representation Learning
- Urban Planning and Design
preferred-citation:
type: software
title: "city2graph: Transform geospatial relations into graphs for spatial analysis and Graph Neural Networks"
authors:
- given-names: Yuta
family-names: Sato
email: y.sato@liverpool.ac.uk
affiliation: University of Liverpool
version: 0.1.6
url: "https://github.com/c2g-dev/city2graph"
year: 2025