# DOITrees Revisited: Scalable, Space-Constrained Visualization of Hierarchical Data

**Source**: https://idl.uw.edu/papers/doitrees-revisited
**Parent**: https://idl.uw.edu/papers

[Jeffrey Heer](http://homes.cs.washington.edu/~jheer/), [Stuart K. Card](http://www2.parc.com/istl/groups/uir/people/stuart/stuart.htm).
Proc. Advanced Visual Interfaces, 2004

[Jeffrey Heer](http://homes.cs.washington.edu/~jheer/), [Stuart K. Card](http://www2.parc.com/istl/groups/uir/people/stuart/stuart.htm)

Proc. Advanced Visual Interfaces, 2004

 

A Degree-Of-Interest Tree visualization of the Open Directory Project (http://dmoz.org). The tree contains over 600,000 nodes, laid out in a right-to-left orientation. Multiple foci have been selected and the various expanded branches are allocated as much space as possible given the display constraints.

Materials

[PDF](https://idl.cs.washington.edu/files/2004-DOITree-AVI.pdf)

Abstract

This paper extends previous work on focus+context visualizations of tree-structured data, introducing an efficient, space-constrained, multi-focal tree layout algorithm ("TreeBlock") and techniques at both the system and interactive levels for dealing with scale. These contributions are realized in a new version of the Degree-Of-Interest Tree browser, supporting real-time interactive visualization and exploration of data sets containing on the order of a million nodes.

BibTeX

```
@inproceedings{2004-doitrees-revisited,
  title = {DOITrees Revisited: Scalable, Space-Constrained Visualization of Hierarchical Data},
  author = {Heer, Jeffrey AND Card, Stuart},
  booktitle = {Proc. Advanced Visual Interfaces},
  year = {2004},
  pages = {421--424},
  url = {https://idl.uw.edu/papers/doitrees-revisited},
  doi = {10.1145/989863.989941}
}
```

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