ShpStreetGraph: From spatial relations of streets to graph representations

Graph-based models are relevant tools for analyzing the structure and inherent relationships among spatial entities. Here, we introduce ShpStreetGraph, a software designed to construct geographical graphs using shapefiles, explicitly focusing on street datasets. In this framework, nodes represent streets, and links are geographical relations such as intersections or proximity. The tool provides a range of criteria for network construction, enabling users to model and analyze urban street networks efficiently. ShpStreetGraph has proven to be faster than a similar tool when dealing with large networks, thus evidencing its scalability. • Users might create graphs from street shape files with simple terminal commands. • Street relations are intersections or buffered distances. • Different configurations are available in a settings file.

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Publication Details

Journal
Software Impacts
Published
2024-10-18
DOI
https://doi.org/10.1016/j.simpa.2024.100711
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

ShpStreetGraph: From spatial relations of streets to graph representations

Aurelienne A. S. Jorge, Leonardo Bacelar Lima Santos, Vander L. S. Freitas, Paula Rafaela Queiroz da Silva
Software Impacts
Geographic Information Systems Studies
article

ShpStreetGraph: From spatial relations of streets to graph representations

Aurelienne A. S. Jorge, Leonardo Bacelar Lima Santos, Vander L. S. Freitas, Paula Rafaela Queiroz da Silva
article en

Abstract

Graph-based models are relevant tools for analyzing the structure and inherent relationships among spatial entities. Here, we introduce ShpStreetGraph, a software designed to construct geographical graphs using shapefiles, explicitly focusing on street datasets. In this framework, nodes represent streets, and links are geographical relations such as intersections or proximity. The tool provides a range of criteria for network construction, enabling users to model and analyze urban street networks efficiently. ShpStreetGraph has proven to be faster than a similar tool when dealing with large networks, thus evidencing its scalability. • Users might create graphs from street shape files with simple terminal commands. • Street relations are intersections or buffered distances. • Different configurations are available in a settings file.

Software ImpactsVol. 22
Universidade Federal de Ouro Preto (BR), Centro Nacional de Monitoramento e Alertas de Desastres Naturais (BR), Instituto Nacional de Pesquisas Espaciais (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Universidade Federal de Ouro Preto
Sustainable cities and communities
Openalex Percentile: Top 70%
Geographic Information Systems Studies
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