Graph4GIS: Geographical graphs for GIS platforms based on weather radar dataset

Autor(es)

Jorge, Aurelienne ; Freitas, Vander L. S. ; Costa, Izabelly C. ; Santos, Leonardo B. L.

• Tipo de documento: Artigo Científico
• Fonte: SOFTWARE IMPACTS; v. 17, p. 3-pg., 2023-07-04.

Resumo

Complex networks have diverse applications in studying natural systems, such as weather and climate. Graph-based networks enable the identification of inherent relationships and structural patterns in these systems. This paper introduces Graph4GIS, a novel tool for constructing geographical graphs using spatial gridded data, with a particular focus on weather radar datasets. Time series are represented as nodes, and links are established between nodes based on predefined similarity criteria. The tool offers various similarity measures and criteria for network construction. As a proof of concept, the paper presents results of different network structures applied to a watershed. (AU)

• Processo FAPESP: 15/50122-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações
• Beneficiário: Elbert Einstein Nehrer Macau
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/06205-7 - Vulnerabilidade estocástica em redes complexas
• Beneficiário: Leonardo Bacelar Lima Santos
• Modalidade de apoio: Bolsas no Exterior - Pesquisa