NDLI: A Polyline-based Visualization Technique for Tagged Time-varying Data

Content Provider	IEEE Xplore Digital Library
Author	Yagi, S. Uchida, Y. Itoh, T.
Copyright Year	2012
Abstract	We have various interesting time-varying data in our daily life, such as weather data (e.g., temperature and air pressure) and stock prices. Such time-varying data is often associated with other information: for example, temperatures can be associated with weather, and stock prices can be associated with social or economic incidents. Meanwhile, we often draw large-scale time-varying data by multiple polylines in one space to compare the time variation of multiple values. We think it should be interesting if such time-varying data is effectively visualized with their associated information. This paper presents a technique for polyline-based visualization and level-of-detail control of tagged time-varying data. Supposing the associated information is attached as tags of the time-varying values, the technique generates clusters of the time-varying values grouped by the tags, and selects representative values for each cluster, as a preprocessing. The technique then draws the representative values as polylines. It also provides a user interface so that users can interactively select interesting representatives, and explore the values which belong to the clusters of the representatives.
Starting Page	106
Ending Page	111
File Size	1213662
Page Count	6
File Format	PDF
ISBN	9781467322607
ISSN	15506037
DOI	10.1109/IV.2012.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-11
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data visualization Meteorology Temperature distribution Time series analysis Image color analysis Shape Clouds level-of-detail control Information visualization tagged timevarying data
Content Type	Text
Resource Type	Article

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