Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Time Granularities in Databases, Data Mining and Temporal Reasoning
Time Granularities in Databases, Data Mining and Temporal Reasoning
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Rethinking Visualization: A High-Level Taxonomy
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach
IEEE Transactions on Visualization and Computer Graphics
CareCruiser: Exploring and visualizing plans, events, and effects interactively
PACIFICVIS '11 Proceedings of the 2011 IEEE Pacific Visualization Symposium
Visualization of Time-Oriented Data
Visualization of Time-Oriented Data
A visual analytics approach to dynamic social networks
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Vertigo zoom: combining relational and temporal perspectives on dynamic networks
Proceedings of the International Working Conference on Advanced Visual Interfaces
Design and evaluation of an interactive visualization of therapy plans and patient data
BCS-HCI '11 Proceedings of the 25th BCS Conference on Human-Computer Interaction
Visual Analytics for Model Selection in Time Series Analysis
IEEE Transactions on Visualization and Computer Graphics
A Design Space of Visualization Tasks
IEEE Transactions on Visualization and Computer Graphics
A Multi-Level Typology of Abstract Visualization Tasks
IEEE Transactions on Visualization and Computer Graphics
Editorial: Foreword to the special section on visual analytics
Computers and Graphics
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Increasing amounts of data offer great opportunities to promote technological progress and business success. Visual analytics (VA) aims at enabling the exploration and the understanding of large and complex data sets by intertwining interactive visualization, data analysis, human-computer interaction, as well as cognitive and perceptual science. We propose a design triangle, which considers three main aspects to ease the design: (1) the characteristics of the data, (2) the users, and (3) the users' tasks. Addressing the particular characteristics of time and time-oriented data focuses the VA methods, but turns the design space into a more complex and challenging one. We demonstrate the applicability of the design triangle by three use cases tackling the time-oriented aspects explicitly. Our design triangle provides a high-level framework, which is simple and very effective for the design process as well as easily applicable for both, researchers and practitioners.