Visual Methods for Analyzing Time-Oriented Data

Title{Visual Methods for Analyzing Time-Oriented Data}
Publication TypeJournal Article
Year of Publication2008
AuthorsAigner, W., S. Miksch, W. Müller, H. Schuman, and C. Tominski
JournalIEEE Transactions on Visualization and Computer Graphics
Volume14
Pages47–60
Type of ArticleRefereed Journal Articles
KeywordsAnalysis, Time-Oriented Data, User, Visualization
Abstract

Providing appropriate methods to facilitate the analysis of time-oriented data is a key issue in many application domains. In this paper, we focus on the unique role of the parameter time in the context of visually driven data analysis. We will discuss three major concerns Ð visualization, analysis, and the user. It will be illustrated that it is necessary to consider the characteristics of time when generating visual representations. For that purpose we take a look at different types of time and present visual examples. Integrating visual and analytical methods has become an increasingly important issue. Therefore, we present our experiences in temporal data abstraction, principal component analysis, and clustering of larger volumes of time-oriented data. The third main aspect we discuss is supporting user-centered visual analysis. We describe event-based visualization as a promising means to adapt the visualization pipeline to needs and tasks of users.

URLhttp://www.cvast.tuwien.ac.at/sites/default/files/publications/PDF/2007/tvcg/final/aigner_2006_tvcg_vis-time.pdf
DOI10.1109/TVCG.2007.70415