Spectrum: A Visual Analytics Tool to Explore Logs for VAST Challenge 2015

We present a visual analytics tool, called Spectrum, to analyze the movement and communication log data from VAST Challenge 2015. Spectrum has two views: MoveView and SpectrumView. MoveView gives an overview of the movement logs at a certain timestamp by synthesizing time, location and identity information. It replays movement logs over time and demonstrates communication logs with dynamic links. SpectrumView shows the status of all visitors' activities within a period of time. Each stay of visitors in a location is visualized as a line segment. The duration and location type of the stay are encoded by the length and color of the segment. Accumulating segments of the same visitor horizontally and aligning sequences of segments from different visitors form a general view of all visitors' activities. In our attempt to solve the VAST Challenge 2015, we find that \textit{Spectrum} provides an intuitive overview of the log data and helps to discover movement patterns from a large number of log records.


Ji Wang, Department of Computer Science, Virginia Tech
Junpeng Wang, Department of Computer Science, Virginia Tech
Chris North, Department of Computer Science, Virginia Tech


Link: http://people.cs.vt.edu/~wji/VAST2015_poster.pdf


Link: http://people.cs.vt.edu/~wji/VAST_2015_VT_Wang.pdf


Link: http://people.cs.vt.edu/~wji/VT-Wang-GC.wmv

VAST Challenge Submission

MC1: http://people.cs.vt.edu/~wji/VAST_2015/VT-Wang-MC1.zip
MC2: http://people.cs.vt.edu/~wji/VAST_2015/VT-Wang-MC2.zip
Grand Challenge: http://people.cs.vt.edu/~wji/VAST_2015/VT-Wang-GC.zip

Image Upload: