Fishing Vizzard: An Interactive Visual Analytics Tool to Identify Suspicious Fishing Behavior

Antonella Bidlingmaier, Julian Jandeleit, Fred Kunze, Lisa-Maria Reutlinger, Tolga Tuncer, Udo Schlegel, Daniel A. Keim

Abstract: We present Fishing Vizzard, an interactive visual analytics application to address the challenge of identifying illegal fishing behavior as posed by the VAST 2024 Mini-Challenge 2. Our solution integrates different visualizations applied to the dataset. Among others, the visualizations include a recursive pixel visualization to track and compare vessel locations across time and a grid of pie charts to investigate plausible fishing cargo for different vessels. Combining these visualizations in our interactive tool provides an understanding of the fishing community in Oceanus and helps find suspicious activities and entities (for example, the vessel Catfish Capturer that spent a lot of time in fishing preserves which is a behavior also shown by a convicted vessel). A demo of Fishing Vizzard is available at https://group2.vast24.dbvis.de.