iDVL可视化交通模式

2017 IEEE Conference on Visual Analytics Science and Technology (VAST) Pub Date : 2017-10-01 DOI:10.1109/VAST.2017.8585709

Long Nguyen, Tommy Dang

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引用次数: 0

摘要

以新颖的视觉呈现生活模式，并通过假设推理当地鸟类减少的原因是《浩瀚挑战》的兴趣所在。链接视图、快速导航按钮和可视化选择有助于鸟类学家更好地找到可能导致鸟类减少的车辆的正常和异常模式。

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iDVL Visualizes Patterns of Traffic

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.

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来源期刊

2017 IEEE Conference on Visual Analytics Science and Technology (VAST)

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