TopoGroups: Context-Preserving Visual Illustration of Multi-Scale Spatial Aggregates
summary
TopoGroups visualizes hierarchical spatial clusters by drawing distorted polygon boundaries that minimize overlap using a boundary distortion algorithm and rendering up to five visible levels (current ±2) so multiple scales appear simultaneously. Applied to a Cleveland RNC tweet dataset it encodes scale with color and depth with a halo, encodes topics with repeating-pattern boundary segments whose segment lengths approximate category volume, and reports a user study on color schemes; limitations include area distortion, no density details, and potential occlusion.
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chapters (9)
- 0:00Introduction to TopoGroups
- 2:15Previous work on multi-scale visualization
- 4:25Motivation and use case example
- 5:51Hierarchical representation in TopoGroups
- 7:40Visual encoding of univariate attributes
- 9:55Encoding multivariate categorical attributes
- 13:56Limitations and challenges
- 16:23Future work and conclusion
- 17:26Q&A session
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