Title :
VAST challenge 2015 solver
Author :
Bowen Yu; Bo Zhou
Author_Institution :
New York University, USA
Abstract :
We designed and implemented an ad-hoc system, VAST Challenge 2015 Solver (i.e. Solver), that integrates both the movement (MC1) and the communication data (MC2) as a whole to seek answers to the questions of VAST Challenge 2015 . The Solver presents linked visualization across multiple views to provide the user with a strongly interactive analysis environment. Targets and patterns can be easily traced and analyzed from multiple perspectives. We have applied several data processing and query optimization techniques to enable smooth user interaction experience.
Keywords :
"Trajectory","Visual analytics","Data visualization","Rivers","Data processing","Layout","Color"
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on
DOI :
10.1109/VAST.2015.7347646