Visual Analytics for Extracting Trends from Spatio-temporal Data

Michiel Dhont, Elena Tsiporkova, Tom Tourwé, Nicolás González-Deleito

Abstract: Visual analytics combines advanced visualisation methods with intelligent analysis techniques in order to explore large data sets whose complexity, underlying structure and inherent dynamics are beyond what traditional visualisation techniques can handle. The ultimate goal is to expose relevant patterns and relationships from the data, since not everything can be exposed easily through intelligent analysis techniques. On the contrary, the human eye can outperform algorithms in grasping and interpreting subtle patterns, provided it is supported by intelligent visualisations.