CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interactive visualization of serial periodic data
Proceedings of the 11th annual ACM symposium on User interface software and technology
Dynamic 3D maps as visual interfaces for spatio-temporal data
Proceedings of the 8th ACM international symposium on Advances in geographic information systems
Maintaining knowledge about temporal intervals
Communications of the ACM
SpiraClock: a continuous and non-intrusive display for upcoming events
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Information Graphics: A Comprehensive Illustrated Reference
Information Graphics: A Comprehensive Illustrated Reference
IEEE Transactions on Knowledge and Data Engineering
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Cluster and Calendar Based Visualization of Time Series Data
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
ThemeRiver: Visualizing Theme Changes over Time
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
Tutorial: A Survey of Stroke-Based Rendering
IEEE Computer Graphics and Applications
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
Human Factors in Visualization Research
IEEE Transactions on Visualization and Computer Graphics
Axes-based visualizations with radial layouts
Proceedings of the 2004 ACM symposium on Applied computing
3D Information Visualization for Time Dependent Data on Maps
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Guest Editors' Introduction: Exploring Geovisualization
IEEE Computer Graphics and Applications
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Spatiotemporal databases provide effective means to represent, manage and query information evolving over time. However, the visualization of record sets that result from spatiotemporal queries through traditional visualization techniques can be of difficult interpretation or may lack the ability to meaningfully display several instants at the same time. We propose a Temporal Focus + Context visualization model to overcome issues from such techniques resorting to concepts from Information Visualization. In this model, Focus + Context is applied to time rather than, as more typically, to attributes or space, and allows large amounts of data from distinct periods of time and from several record sets to be compressed onto one. Underlying the proposed visualization technique is the calculation of a temporal degree of interest (TDOI) for each record driven by specific analysis, exploration or presentation goals and based on the record valid time attribute, as well as on user-defined temporal visualization requirements. In the mapping stage of the visualization pipeline, the TDOI for a record is used to control graphical properties, such as transparency and color. More complex rendering properties, such as sketch drawing edges or other non-photorealistic enhancement techniques, can also be used to convey the temporal aspects of data, replacing the original graphical features of the record data. By enhancing or dimming the representation of a data item, according to the corresponding degree of interest, it is possible to meaningfully compress information about distinct temporal states of data onto the same visualization display. The model has been applied to several test scenarios and proved appropriate and useful for a wide range of domains that require the display, exploration and analysis of spatial information discretely evolving over time.