Attribute-driven edge bundling for general graphs with applications in trail analysis

  title={Attribute-driven edge bundling for general graphs with applications in trail analysis},
  author={Vsevolod Peysakhovich and Christophe Hurter and Alexandru Telea},
  journal={2015 IEEE Pacific Visualization Symposium (PacificVis)},
Edge bundling methods reduce visual clutter of dense and occluded graphs. However, existing bundling techniques either ignore edge properties such as direction and data attributes, or are otherwise computationally not scalable, which makes them unsuitable for tasks such as exploration of large trajectory datasets. We present a new framework to generate bundled graph layouts according to any numerical edge attributes such as directions, timestamps or weights. We propose a GPU-based… CONTINUE READING
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