The VAST Challenge 2015 movement dataset is mirroring current challenges in the analysis of large spatiotemporal datasets. We present a tool featuring different exploratory approaches analyze and visualize spatiotemporal data to build and confirm hypotheses. Our tool helps the user to find patterns, anomalies and groups in a data set that can not be processed manually. We present custom visualizations to solve the tasks stated by the VAST 2015 Mini-Challenge (MC1).
['Eren Cakmak', 'Alexander Gartner', 'Thomas Hepp', 'Juri Buchmuller', 'Fabian Fischer', 'Daniel A. Keim']
Applying visual analytics to explore and analyze movement data