Interactive Visual Analytics Application for Spatiotemporal Movement Data VAST Challenge 2017 Mini-Challenge 1: Award for Actionable and Detailed Analysis

• Main Authors: GUAN, Yifei, KAM, Tin Seong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Spatiotemporal visualisation; Movement Analysis; User interaction; Tableau; MITB student; Databases and Information Systems; Data Science
• Online Access: https://ink.library.smu.edu.sg/sis_research/3852; https://ink.library.smu.edu.sg/context/sis_research/article/4854/viewcontent/Example5_VAST_Challenge_2017_Mini_Challenge_1_Award_for_Actionable_and_Detailed_Analysis.pdf
• Institution: Singapore Management University

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 veh...