IDVL Visualizes Patterns of Traffic

Long Nguyen, Tommy Dang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Presenting patterns of life with novel visualizations and reasoning cause of reduction of local birds via hypotheses are interested for Vast Challenge. Linked views, quick navigation buttons and choice of visualizations contributed to creating ways for ornithologist better finding normal and abnormal patterns of vehicles that may result in bird reduction.

Original languageEnglish
Title of host publication2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings
EditorsTobias Schreck, Brian Fisher, Shixia Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages213-214
Number of pages2
ISBN (Electronic)9781538631638
DOIs
StatePublished - Dec 21 2018
Event2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Phoenix, United States
Duration: Oct 1 2017Oct 6 2017

Publication series

Name2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings

Conference

Conference2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017
CountryUnited States
CityPhoenix
Period10/1/1710/6/17

Keywords

  • H.1.2 [Models and Principles]: User/Machine Systems - Human information processing
  • H.5.2 [Information Systems]: Information Interfaces and Presentation - User Interfaces

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  • Cite this

    Nguyen, L., & Dang, T. (2018). IDVL Visualizes Patterns of Traffic. In T. Schreck, B. Fisher, & S. Liu (Eds.), 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings (pp. 213-214). [8585709] (2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VAST.2017.8585709