Interactive Visual Analytics Application for Spatiotemporal Movement Data VAST Challenge 2017 Mini-Challenge 1: Award for Actionable and Detailed Analysis
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...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2017
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| 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 |
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| Institution: | Singapore Management University |
| Language: | English |