{Visualizing Time-Oriented Data - A Systematic View}

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Abstract
The analysis of time-oriented data is an important task in many application scenarios. In recent years, a variety of techniques for visualizing such data have been published. This variety makes it difficult for prospective users to select methods or tools that are useful for their particular task at hand. In this article, we develop and discuss a systematic view on the diversity of methods for visualizing time-oriented data. With the proposed categorization we try to untangle the visualization of time-oriented data, which is such an important concern in Visual Analytics. The categorization is not only helpful for users, but also for researchers to identify future tasks in Visual Analytics.
Year of Publication
2007
Journal
Computers & Graphics
Volume
31
Number
Number of Pages
401–409
Date Published
June
Type of Article
Refereed Journal Articles
Publication Language
Publisher
Citation Key
URL
http://www.donau-uni.ac.at/imperia/md/content/department/ike/ike_publications/2007/refereedjournalarticles/aigner_2007_cg_visualizing-time-oriented-data.pdf
DOI
10.1016/j.cag.2007.01.030