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

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 u...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Software impacts 2023-09, Vol.17, p.100530, Article 100530
Hauptverfasser: Jorge, Aurelienne, Freitas, Vander L.S., Costa, Izabelly C., Santos, Leonardo B.L.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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. •The presentation of a computational tool able to build geographical networks.•The construction of spatial and temporal high resolution networks based on weather radar data.•The construction of geographical networks allowing to analyze the results in a GIS platform.•The possibility of application of distinct similarity measures and criteria for building up the networks.
ISSN:2665-9638
2665-9638
DOI:10.1016/j.simpa.2023.100530