Title :
Applying visual analytics to explore and analyze movement data
Author :
Eren Cakmak;Alexander G?rtner;Thomas Hepp;Juri Buchm?ller;Fabian Fischer;Daniel A. Keim
Author_Institution :
Data Analysis and Visualization Group, University of Konstanz, Germany
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).
Keywords :
"Data visualization","Heating","Visual analytics","Image color analysis","Spatiotemporal phenomena","Databases","Time series analysis"
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on
DOI :
10.1109/VAST.2015.7347643
