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Cushion Treemaps and Botanical Visualization

Cushion Treemaps and Botanical Visualization. Yimeng Dou 05-16-2002 ydou@ics.uci.edu. Overview. Trees and Cushion Treemaps SequoiaView Software Botanical Trees. Cushion Treemaps. Provide shading as a strong extra cue to emphasize hierarchical structure.

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Cushion Treemaps and Botanical Visualization

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  1. Cushion Treemaps and Botanical Visualization Yimeng Dou 05-16-2002 ydou@ics.uci.edu

  2. Overview • Trees and Cushion Treemaps • SequoiaView Software • Botanical Trees

  3. Cushion Treemaps • Provide shading as a strong extra cue to emphasize hierarchical structure. • Especially good for answering global questions like “Why is my disk full?”

  4. Example: Trees

  5. root Example: Trees

  6. A disk with color scheme option off.

  7. Same disk with color scheme on. Treemap

  8. Treemap • Efficient use of display space • Constructed via recursive subdivision of the initial rectangle • Size of each rectangle is proportional to the size of the node • Subdivision is alternated per level: first horizontally, next vertically…

  9. Treemap • Most useful when the feature we want to display is size • Not very good for visualizing structure of the tree (Worst case is balanced tree) • What happens if it’s a perfectly balanced tree of items all the same size?

  10. Example: 3600 Employees

  11. Nested Treemap • Use slightly smaller rectangles. Siblings are enclosed by a margin. • Require viewer’s effort when tree is deeply nested. • Coloring won’t help much. It does not provide a natural hierarchical structure, and we want to use color to show other attributes.

  12. Nested Tree-Map Non-nested Tree-Map

  13. The Idea Behind Cushion Treemaps • Human visual system interprets variations in shade as illuminated surfaces. So shape can be constructed to encode tree structure. Add a bump to each of the two subdivisions, and repeat recursively.

  14. The Parabolic Surfice Z is height of such a surface.

  15. Interaction—SequoiaView • SequoiaView is an interactive system for the analysis and visualization of large tree structures. • Cushion tree can be easily constructed and If there is any change, Sequoia can easily refresh the tree. • User can define size range, color scheme, can zoom in on sub-trees, zoon out again, and select preferred color scheme and filters.

  16. <- Sound Garden Cure Cure--Disintegration Sound Garden Studio Albums Only

  17. Cushion Treemaps (Conclusion) • Efficient, quick generation of treemap image • Effective (shading provide a strong cue for identifying substructures) • Compact, no scrolling neccessary • Easy to implement (with the shown algorithm) • Easy to control with intuitive parameters • Wide applicability

  18. Botanical Visualization of Huge Hierarchies—Idea • People can easily see branches, leaves and their arrangement in a botanical tree. • We can use the idea of botanical modeling for Information Visualization, and map folders to branches and files to leaves. • The model used—strand model (dates back to Leonardo Da Vinci) by Holton.

  19. Strand Model • Leaves are connected to root via a strand • Area of branch is proportional to number of leaves.

  20. Node and Link Diagram and Its Corresponding Botanical Tree

  21. Problems • Continuing branches representing a directory can’t be easily followed at the branching point. • Those directories with many sub-directories lead to thin and long branches. • Leaves tend to clutter.

  22. An Example Of A Messy Tree

  23. Continuation Without Extrusion • Smooth continuing branches (by adding a smooth transition between two cylinders). • It makes clear what the status of each branch is. • We can also use different color as an extra cue.

  24. Contraction Long Branches • Conditionally remove the stem in the subbranch of the continuing branch. It replaces the binary tree with a general tree.

  25. Files As Fruits • To prevent cluttering of leaves, we can use an icon to represent a list of files and their sizes. It can be modeled as a fruit consisting of a sphere with spots for each file.(Phi-ball) • Area of slices on the sphere is proportional to the size of the corresponding files. • When there is only one file, using cone instead of planar disks pasted on the sphere.

  26. Phi-balls Cone’s length c equals to the square root of the ratio of the file size and the total size of the file list.

  27. Final Results

  28. Complete Hard Disk

  29. A Unix Home Directory

  30. Conclusions • Cone covered phi-ball is good for visualizing a list of items, also useful for other applications • Branches and cones hardly ever collide with no special prevention • Efficient use of space by mathematical, algorithmic and physically based methods.

  31. END Special thanks to Daniel Loewus-Deitch for providing graphs of his music library.

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