Visualizing time-oriented data - A systematic view

By Wolfgang Aigner, Silvia Miksch, Wolfgang Müller, H. Schumann, Christian Tominski. Computers & graphics, 2007

393 citations recorded by the source corpus.

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.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/7e09a91ff314259a52de31312ea8ff25c3e2da76

Citations in the corpus

• Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey (2013, neutral): “A frequent goal is to integrate data from multiple time steps in a single image, for instance, by using a linear or cyclic axis to represent time [17], [18].”