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

Author(s)

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

• Document type: Journal article
• Source: SOFTWARE IMPACTS; v. 17, p. 3-pg., 2023-07-04.

Abstract

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)

• FAPESP's process: 15/50122-0 - Dynamic phenomena in complex networks: basics and applications
• Grantee: Elbert Einstein Nehrer Macau
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 18/06205-7 - Stochastic vulnerability on complex networks
• Grantee: Leonardo Bacelar Lima Santos
• Support Opportunities: Scholarships abroad - Research