Paper
4 June 2004 Toward design patterns for dynamic analytical data visualization
Author Affiliations +
Proceedings Volume 5295, Visualization and Data Analysis 2004; (2004) https://doi.org/10.1117/12.539227
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
This paper advocates the study and use of visualization design patterns to improve development productivity and usage effectiveness in dynamic, analytical data visualization. Nine visualization design patterns are presented formally using the current de facto pattern description language. Organized in three categories (data, structural, and behavioral), these patterns summarize many common practices and techniques used in the process of dynamic, analytical data visualization. A relationship diagram is also introduced to illustrate the common relationships and uses of the patterns. Driven by the study of design patterns, a simple, yet powerful, architecture design for a dynamic, analytical data visualization library is proposed. The fundamental characteristics of the design are component-based, data centric, and layout-aided.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hong Chen "Toward design patterns for dynamic analytical data visualization", Proc. SPIE 5295, Visualization and Data Analysis 2004, (4 June 2004); https://doi.org/10.1117/12.539227
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CITATIONS
Cited by 18 scholarly publications.
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KEYWORDS
Visualization

Data modeling

Data visualization

Visual analytics

Visual process modeling

Computer programming

Chemical elements

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