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Protovis: A Graphical Toolkit for Visualization: IEEE Transactions on Visualization and Computer Gra
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没有腹肌的碗
3 月前 |
Abstract
Despite myriad tools for visualizing data, there remains a gap between the notational efficiency of high-level visualization systems and the expressiveness and accessibility of low-level graphical systems. Powerful visualization systems may be inflexible or impose abstractions foreign to visual thinking, while graphical systems such as rendering APIs and vector-based drawing programs are tedious for complex work. We argue that an easy-to-use graphical system tailored for visualization is needed. In response, we contribute Protovis, an extensible toolkit for constructing visualizations by composing simple graphical primitives. In Protovis, designers specify visualizations as a hierarchy of marks with visual properties defined as functions of data. This representation achieves a level of expressiveness comparable to low-level graphics systems, while improving efficiency--the effort required to specify a visualization--and accessibility--the effort required to learn and modify the representation. We substantiate this claim through a diverse collection of examples and comparative analysis with popular visualization tools.
Cited By
View all- Liu R Wang H Wang H Chen S Lai C Kumar A Chen S Cai J Kankanhalli M Prabhakaran B Boll S Subramanian R Zheng L Singh V Cesar P Xie L Xu D (2024) ScaleTraversal: Creating Multi-Scale Biomedical Animation with Limited Hardware Resources Proceedings of the 32nd ACM International Conference on Multimedia 10.1145/3664647.3681191 (2603-2612) Online publication date: 28-Oct-2024
- Liu Z Chen C Hooker J (2024) Manipulable Semantic Components: A Computational Representation of Data Visualization Scenes IEEE Transactions on Visualization and Computer Graphics 10.1109/TVCG.2024.3456296 31 :1 (732-742) Online publication date: 10-Sep-2024
- Snyder L Heer J (2024) DIVI: Dynamically Interactive Visualization IEEE Transactions on Visualization and Computer Graphics 10.1109/TVCG.2023.3327172 30 :1 (403-413) Online publication date: 1-Jan-2024
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prefuse: a toolkit for interactive information visualization
CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsAlthough information visualization (infovis) technologies have proven indispensable tools for making sense of complex data, wide-spread deployment has yet to take hold, as successful infovis applications are often difficult to author and require domain-...
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D 3 Data-Driven Documents
Data-Driven Documents (D3) is a novel representation-transparent approach to visualization for the web. Rather than hide the underlying scenegraph within a toolkit-specific abstraction, D3 enables direct inspection and manipulation of a native ...
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Information visualization for intelligent decision support systems
To work efficiently with decision support systems (DSS), most users benefit from representation conversion, i.e. translating the specific outcome from the DSS, normally portrayed in a numerical format, into the universal language of the visual. In ...
IEEE Transactions on Visualization and Computer Graphics
Volume 15, Issue 6
November 2009
4338 pages
ISSN:
1077-2626
Issue’s Table of Contents
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View Citations78Total Citations
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Cited By
View all- Liu R Wang H Wang H Chen S Lai C Kumar A Chen S Cai J Kankanhalli M Prabhakaran B Boll S Subramanian R Zheng L Singh V Cesar P Xie L Xu D (2024) ScaleTraversal: Creating Multi-Scale Biomedical Animation with Limited Hardware Resources Proceedings of the 32nd ACM International Conference on Multimedia 10.1145/3664647.3681191 (2603-2612) Online publication date: 28-Oct-2024
- Liu Z Chen C Hooker J (2024) Manipulable Semantic Components: A Computational Representation of Data Visualization Scenes IEEE Transactions on Visualization and Computer Graphics 10.1109/TVCG.2024.3456296 31 :1 (732-742) Online publication date: 10-Sep-2024
- Snyder L Heer J (2024) DIVI: Dynamically Interactive Visualization IEEE Transactions on Visualization and Computer Graphics 10.1109/TVCG.2023.3327172 30 :1 (403-413) Online publication date: 1-Jan-2024
- Kruchten N McNutt A McGuffin M (2024) Metrics-Based Evaluation and Comparison of Visualization Notations IEEE Transactions on Visualization and Computer Graphics 10.1109/TVCG.2023.3326907 30 :1 (425-435) Online publication date: 1-Jan-2024
- Moreira G Hosseini M Alam Nipu M Lage M Ferreira N Miranda F (2024) The Urban Toolkit: A Grammar-Based Framework for Urban Visual Analytics IEEE Transactions on Visualization and Computer Graphics 10.1109/TVCG.2023.3326598 30 :1 (1402-1412) Online publication date: 1-Jan-2024
- Wang C Thompson J Lee B (2024) Data Formulator: AI-Powered Concept-Driven Visualization Authoring IEEE Transactions on Visualization and Computer Graphics 10.1109/TVCG.2023.3326585 30 :1 (1128-1138) Online publication date: 1-Jan-2024
- Ferreira L Moreira G Hosseini M Lage M Ferreira N Miranda F (2024) Assessing the landscape of toolkits, frameworks, and authoring tools for urban visual analytics systems Computers and Graphics 10.1016/j.cag.2024.104013 123 :C Online publication date: 1-Oct-2024
- Geringer S Geiselhart F Bäuerle A Dec D Odenthal O Reina G Ropinski T Weiskopf D (2024) mint: Integrating scientific visualizations into virtual reality Journal of Visualization 10.1007/s12650-024-01011-y 27 :6 (1143-1169) Online publication date: 1-Dec-2024
- Fan D Fay Siu A Rao H Kim G Vazquez X Greco L O'Modhrain S Follmer S (2023) The Accessibility of Data Visualizations on the Web for Screen Reader Users: Practices and Experiences During COVID-19 ACM Transactions on Accessible Computing 10.1145/3557899 16 :1 (1-29) Online publication date: 29-Mar-2023
- Fleck P Calepso A Hubenschmid S Sedlmair M Schmalstieg D (2023) RagRug: A Toolkit for Situated Analytics IEEE Transactions on Visualization and Computer Graphics 10.1109/TVCG.2022.3157058 29 :7 (3281-3297) Online publication date: 1-Jul-2023
- Show More Cited By
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Michael
Bostock
Stanford University
Jeffrey
Heer
Stanford University
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