1. Software Design Patterns for Information Visualization 薛乃榮 Q56034051 NCBCI LAB

2.  Paper title : Software Design Patterns for Information Visualization  Authors : Jeffrey Heer and Maneesh Agrawala  Publish year : OCTOBER 2006  Journal title : IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS  SCI impact factor : 1.9  Citation number : 155

3. Introduction  Information visualization problem  Contribution  Follow software design pattern format

4. Categories  Information visualization patterns  Data representation  Graphics  Interaction

5. Reference Model  “Provides a general template for structuring visualization applications that separates data models, visual models, views and interactive controls.”

6. Data Column  “Organize relational data into data columns providing flexible data representations and extensible data schemas.”

7. Cascaded Table  “Allow relational data tables to inherit data from parent tables, efficiently supporting derived tables.”

8. Relational Graph  “Use relational data tables to represent network structures, facilitating data reuse and efficient data processing.”

9. Proxy Tuple  “Use an object relational mapping for accessing, manipulating, grouping and reordering table and graph data.” Instead of accessing graph and table data directly, a proxy object is created to access them.

10. Expression  “Provides an expression language for data processing tasks such as specifying queries and computing derived values.”

11. Scheduler  “Provide schedulable activities for implementing time-sensitive, potentially recurring operations. “

12. Operator  “Decompose visual data processing into a series of composable operators, enabling flexible and reconfigurable visual mappings.”

13. Renderer  “Separate visual components from their rendering methods, allowing dynamic determination of visual appearances”

14. Production Rule  “Use a chain of if-then-else rules to dynamically determine visual properties using rule-based assignment or delegation.”

15. Camera  “Provide a transformable camera view onto a visualization, supporting multiple views and spatial navigation of data displays.”

16. Dynamic Query Binding  “Allow data selection and filtering criteria to be specified dynamically using direct manipulation interface components. “

17. Conclusion  Most of the patterns can be used in isolation  Their relationship gives the greatest value  The patterns are not static and other related pattern may be created

18. Design Patterns Relationships

19. References  [1] J. Heer and M. Agrawala, Software Design Patterns for Information Visualization, IEEE Transactions on Visualization and Computer Graphics, Vol. 12 No. 5, Setp/Oct 2006  [2] Gamma and et al, Software Design Pattern

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