Visual Integration of Meteorological and Sensor Data for Identifying Suspicious Company Behavior
2017, Seebacher, Daniel, Schneider, Bruno, Behrisch, Michael
We present an approach developed in course of the VAST 2017 Mini-Challenge 2. To help the ornithologist Mitch to investigate the noxious gases emitted by the four companies south of the nature preserve, we employ a combination of interactive visualizations that allow for an exploration of the data. In this paper, we present our visual-interactive approach for analyzing suspicious patterns in the data. By taking the wind data into consideration, as well, our approach allows the retrieval of patterns in the chemical releases and identify key polluters.
Uncovering the Mistford Toxic Conspiracy
2017, Streeb, Dirk, Buchmüller, Juri F., Schlegel, Udo, Jentner, Wolfgang, Behrisch, Michael, Schneider, Bruno, Seebacher, Daniel
To help ornithologist Mitch in understanding the poor development of the Rose-crested Blue Pipit in terms of the VAST Challenge 2017 Grand Challenge, we apply a diverse set of custom specialized tools and out-of-the-box data analysis systems to a rich data set consisting of satellite images, gas sensor measurements, movement traces and newsletter issues. Following the Visual Analytics approach, we implement a collaborative analysis loop and are able to combine data and gain insights into the current situation of the Boonsong Lekagul Nature Preserve. Finally, we come up with a hypothesis that combines suspect observations to a coherent story of illegal disposal of toxic waste involving two companies located in the reserve's vicinity.