TitleThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor
Publication TypeJournal Article
Year of Publication2015
AuthorsStitz, H., S. Gratzl, W. Aigner, and M. Streit
JournalIEEE Transactions on Visualization and Computer Graphics
Volume22
Issue12
Pages2594-2607
Date Published12/2015
ISSN1077-2626
Keywordsanimation, data visualization, Economics, encoding, focus+context, Market research, multi-attribute data, semantic zooming, time-dependent data, Trajectory, Visualization
AbstractMulti-attribute time-series data plays a vital role in many different domains, such as economics, sensor networks, and biology. An important task when making sense of such data is to provide users with an overview to identify items that show an interesting development over time, including both absolute and relative changes in multiple attributes simultaneously. However, this is not well supported by existing visualization techniques. To address this issue, we present ThermalPlot, a visualization technique that summarizes combinations of multiple attributes over time using an item’s position, the most salient visual variable. More precisely, the x-position in the ThermalPlot is based on a user-defined degree-of-interest (DoI) function that combines multiple attributes over time. The y-position is determined by the relative change in the DoI value (DDoI) within a user-specified time window. Animating this mapping via a moving time window gives rise to circular movements of items over time—as in thermal systems. To help the user to identify important items that match user-defined temporal patterns and to increase the technique’s scalability, we adapt the level of detail of the items’ representation based on the DoI value. Furthermore, we present an interactive exploration environment for multi-attribute time-series data that ties together a carefully chosen set of visualizations, designed to support analysts in interacting with the ThermalPlot technique. We demonstrate the effectiveness of our technique by means of two usage scenarios that address the visual analysis of economic development data and of stock market data.
URLhttp://thinkh.github.io/paper-2015-thermalplot/resources/2016_thermalplot_preprint.pdf
DOI10.1109/TVCG.2015.2513389
Refereed DesignationRefereed