TY - GEN
T1 - A Visual Explorer for Analyzing Trajectory Patterns
AU - Kim, Wooil
AU - Shim, Changbeom
AU - Suh, Ilhyun
AU - Chung, Yon Dohn
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIP) (No. NRF-2014R1A2A1A11053657)
Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIP) (No. NRF-2014R1A2A1A11053657).
PY - 2018/12/21
Y1 - 2018/12/21
N2 - In this paper, we propose a web-based interactive visual analytic system effective for revealing the trajectory patterns. We describe the analysis approach with the data of MC1 of the VAST challenge 2017. Index Terms - Visual analytics, Information visualization.
AB - In this paper, we propose a web-based interactive visual analytic system effective for revealing the trajectory patterns. We describe the analysis approach with the data of MC1 of the VAST challenge 2017. Index Terms - Visual analytics, Information visualization.
KW - Information visualization
KW - Visual analytics
UR - http://www.scopus.com/inward/record.url?scp=85061031374&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061031374&partnerID=8YFLogxK
U2 - 10.1109/VAST.2017.8585462
DO - 10.1109/VAST.2017.8585462
M3 - Conference contribution
AN - SCOPUS:85061031374
T3 - 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings
SP - 199
EP - 200
BT - 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings
A2 - Schreck, Tobias
A2 - Fisher, Brian
A2 - Liu, Shixia
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017
Y2 - 1 October 2017 through 6 October 2017
ER -