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Time-based Visualization of Large Data-Sets. An Example in the Context of Automotive Engineering

Sturm, Werner and Berndt, René and Halm, Andreas and Ullrich, Torsten and Eggeling, Eva and Fellner, Dieter W. (2014):
Time-based Visualization of Large Data-Sets. An Example in the Context of Automotive Engineering.
In: International Journal on Advances in Software, pp. 139-149, 7, (1-2), [Article]

Abstract

Automotive systems can be very complex when using multiple forms of energy. To achieve better energy efficiency, engineers require specialized tools to cope with that complexity and to comprehend how energy is spread and consumed. This is especially essential to develop hybrid systems, which generate electricity by various available forms of energy. Therefore, highly specialized visualizations of multiple measured energies are needed. This paper examines several three-dimensional glyphbased visualization techniques for spatial multivariate data. Besides animated glyphs, two-dimensional visualization techniques for temporal data to allow detailed trend analysis are considered as well. Investigations revealed that Scaled Data-Driven Spheres are best suited for a detailed 3D exploration of measured data. To gain a better overview of the spatial data, Cumulative Glyphs are introduced. For trend analysis, Theme River and Stacked Area Graphs are used. All these visualization techniques are implemented as a web-based prototype without the need of additional web browser plugins using X3DOM and Data-Driven Documents.

Item Type: Article
Erschienen: 2014
Creators: Sturm, Werner and Berndt, René and Halm, Andreas and Ullrich, Torsten and Eggeling, Eva and Fellner, Dieter W.
Title: Time-based Visualization of Large Data-Sets. An Example in the Context of Automotive Engineering
Language: English
Abstract:

Automotive systems can be very complex when using multiple forms of energy. To achieve better energy efficiency, engineers require specialized tools to cope with that complexity and to comprehend how energy is spread and consumed. This is especially essential to develop hybrid systems, which generate electricity by various available forms of energy. Therefore, highly specialized visualizations of multiple measured energies are needed. This paper examines several three-dimensional glyphbased visualization techniques for spatial multivariate data. Besides animated glyphs, two-dimensional visualization techniques for temporal data to allow detailed trend analysis are considered as well. Investigations revealed that Scaled Data-Driven Spheres are best suited for a detailed 3D exploration of measured data. To gain a better overview of the spatial data, Cumulative Glyphs are introduced. For trend analysis, Theme River and Stacked Area Graphs are used. All these visualization techniques are implemented as a web-based prototype without the need of additional web browser plugins using X3DOM and Data-Driven Documents.

Journal or Publication Title: International Journal on Advances in Software
Volume: 7
Number: 1-2
Uncontrolled Keywords: Business Field: Virtual engineering, Research Area: Modeling (MOD), Research Area: Human computer interaction (HCI), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Scientific visualization, Trend analysis, Multivariate data, X3DOM
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
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