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Drosophigator

Drosophigator: Investigating the Spread Dynamics of Invasive Species

Invasive species are a major cause of ecological damage and commercial losses. A current problem spreading in North America and Europe is the vinegar fly Drosophila suzukii. Unlike other Drosophila, it infests non-rotting and healthy fruits and is therefore of concern to fruit growers, such as vintners. Consequently, large amounts of data about the occurrence of D. suzukii have been collected in recent years. However, there is a lack of interactive methods to investigate this data.

In this project, we employ ensemble-based classification to predict areas susceptible to the occurrence of D. suzukii and bring them into a spatio-temporal context using maps and glyph-based visualizations. Following the information-seeking mantra, we provide a visual analysis system Drosophigator for spatio-temporal event predictions, enabling the investigation of the spread dynamics of invasive species. We demonstrate the usefulness of this approach in two use cases and an evaluation with more than 30 domain experts.

Investigators

Daniel Seebacher (Lead), Data Analysis and Visualization Group, University of Konstanz
Johannes Haeussler, Data Analysis and Visualization Group, University of Konstanz
Michael Hundt, Data Analysis and Visualization Group, University of Konstanz
Manuel Stein, Data Analysis and Visualization Group, University of Konstanz
Hannes Mueller, State Office of the Environment, LUBW
Dr. Ulrich Engelke, Decision Sciences, CSIRO Data61
Daniel Keim, Data Analysis and Visualization Group, University of Konstanz

Lifetime

2017 – ongoing