Holger Stitz, Samuel Gratzl, Wolfgang Aigner, Marc Streit,
"ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor"
, in IEEE Transactions on Visualization and Computer Graphics, Vol. 22, Nummer 12, IEEE Computer Society, Seite(n) 2594-2607, 12-2016
ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor
Sprache des Titels:
Multi-attribute time-series data plays a vital role in many different domains. 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. However, this is not well supported by existing visualization techniques. To address this issue, we present ThermalPlot, a visualization technique that summarizes complex 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-de?ned degree-of-interest (DoI) function that combines multiple attributes over time. The y-position is determined by the relative change in the DoI value (?DoI) within a user-speci?ed 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-de?ned temporal patterns and to increase the technique?s scalability, we adapt the items? level of detail based on the DoI value. We demonstrate the effectiveness of our technique using two usage scenarios that address the visual analysis of economic development data and of stock market data.
Sprache der Kurzfassung:
IEEE Transactions on Visualization and Computer Graphics