J. Schmidt, D. Fleischmann, B. Preim, N. Brändle, G. Mistelbauer:
"Popup-Plots: Warping Temporal Data Visualization";
IEEE Transactions on Visualization and Computer Graphics, 27 (2019), 7; S. 2443 - 2457.

Temporal data visualization is used to analyze dependent variables that vary over time, with time being an independent
variable. Visualizing temporal data is inherently difficult, due to the many aspects that need to be communicated to the users (e.g., time
and variable changes). This is an important topic in visualization, and a wide range of visualization techniques dealing with different tasks
have already been designed. In this paper we propose popup-plots, a novel concept where the common interaction of 3D rotation is used
to navigate through the data. This allows the users to view the data from different perspectives without having to learn and adapt to new
interaction concepts. Popup-plots are therefore a novel method for visualizing and interacting with dependent variables over time. We
extend 2D plots with the temporal information by bending the space according to the time. The bending is calculated based on a spherical
coordinates approach, which is continuously influenced by the viewing direction towards the plot. Hence, the plot can be viewed from
various angles with seamless transitions in between, offering the possibility to analyze different aspects of the represented data. As the
current viewing direction is inherently depicted by the shape of the data, the users are able to deduce which part of the data is currently
viewed. The temporal information is encoded into the visualization itself, resembling annual rings of a tree. We demonstrate our method
by applying it to data from two different domains, comprising measurements at spatial positions over time, and we also evaluated the
usability of our solution.

Temporal data, time-dependent visualization, 3D plots, ellipsoidal coordinate system

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