VAST 2024-MC2 Challenge
Sinem Bilge Guler - University of Konstanz, Konstanz, Germany
Mehmet Emre Sahin - University of Konstanz, Konstanz, Germany
Funda Yildiz-Aydin - University of Konstanz, Konstanz, Germany
Daniel Keim - University of Konstanz, Konstanz, Germany
Udo Schlegel - University of Konstanz, Konstanz, Germany
Room: Bayshore II
2024-10-13T12:30:00ZGMT-0600Change your timezone on the schedule page
2024-10-13T12:30:00Z
Abstract
This paper presents the comprehensive analysis and visualizations developed by the FES-MC2-1 team for the VAST Challenge 2024, Mini-Challenge 2. The challenge required us to analyze port exit records, transponder ping data, and cargo delivery reports to asso- ciate vessels with their probable cargos, identify seasonal trends and anomalies, and detect illegal fishing activities by SouthSeafood Express Corp vessels. Utilizing a combination of advanced visual analytics tools—including Tableau, Python, React, Docker, Postgresql, Nginx and custom-developed solutions from the University of Konstanz—our team uncovered patterns in the data that reveal suspicious activities and significant shifts in fishing behavior following the crackdown on illegal operations.