Circle Packing

Authors

• Hongan Wang
  
• Guozhong Dai
  
• Weixin Wang
  
• Hui Wang
  

Short description

Circle packing is a method to visualize large hierarchical data using nested circles. Inspired by treemaps and Grokker, Wang et al. developed a layout algorithm for tree structures which gives a good overview for large data sets. Tangent circles represent the brother nodes at the same level. The different leves are shown by nested circles (2D) or nested cylinders (3D). An advantage of this algorithm is the good overview for large data sets and it is easy to make out groupings and structural relationships.

[Wang, W. et al., 2006]

figures

The tree nodes at different levels are represented by nested circles. Brother nodes are packed into the root node. If a node has children they are packed into it.

Packing circles with random radii.

3D nested cylinders and spheres

Userinterface: directories are represented by white circles.
The Color of the inner circles shows the filetype and the file sizes determine the radii.

Suitable Datatypes

Suitable Datatypes for this visualization technique are (large) hierarchical data structures.

Important Citations

The visualization of hierarchical information structures is an important topic in the visualization community. Most of the work concentrated on the challenge to display large hierarchies in a comprehensible form.

[Wang, W. et al., 2006]

The circles of different radii are suitable for representing large numbers of brother nodes. There is no overlapping between any two circles, which ensures each circle is visible. The circles are to be packed as close as possible to save display space. A new circle is always placed outside the front-chain and beside the circle whose center is nearest to the origin, which ensures that the shape of front-chain is basically convex like a circle.

[Wang, W. et al., 2006]

Internal Links

• Treemap

References

[Wang, W. et al. 2006] Wang et al. Visualization of large hierarchical data by circle packing. In Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 517-520, Montréal, Québec, Canada, 2006: ACM Press.