Applying visual analytics to explore and analyze movement data
1 Citations•2015•
E. Cakmak, Alexander Gartner, Thomas Hepp
2015 IEEE Conference on Visual Analytics Science and Technology (VAST)
A tool featuring different exploratory approaches analyze and visualize spatiotemporal data to build and confirm hypotheses and helps the user to find patterns, anomalies and groups in a data set that can not be processed manually.
Abstract
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).