The Visual Analytics Science and Technology (VAST) Challenge 2017 Mini-Challenge 1 dataset mirrored the challenging scenarios in analysing large spatiotemporal movement tracking datasets. The datasets provided contains a 13-month movement data generated by five types of sensors, for six types of vehicles passing through the Boonsong Lekagul Nature Preserve. We present an application developed with the market leading visualisation software Tableau to provide an interactive visual analysis of the multi-dimensional spatiotemporal datasets. Our interactive application allows the user to perform an interactive analysis to observe movement patterns, study vehicle trajectories and identify movement anomalies while allowing them to customise the preferred visualisation configurations.
Spatiotemporal visualisation, Movement Analysis, User interaction, Tableau
Graphics and Human Computer Interfaces | Software Engineering
Data Management and Analytics
IEEE VAST Challenge, Phoenix, Arizona, 2017 October 1-6
Yuan Ze University
City or Country
GUAN, Yifei and KAM, Tin Seong.
Interactive visual analytics application for spatiotemporal movement data. (2017). IEEE VAST Challenge, Phoenix, Arizona, 2017 October 1-6. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3832
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.