1 / 16

Information Visualization Toolkits Workshop 2004

Information Visualization Toolkits Workshop 2004. Sheelagh Carpendale Department of Computer Science, University of Calgary , Alberta, Canada. Discussion points. Why Support further research Allow creation of an InfoVis of my data Integration of algorithms Distinction of InfoVis aspects

tamber
Download Presentation

Information Visualization Toolkits Workshop 2004

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Information Visualization Toolkits Workshop2004 Sheelagh Carpendale Department of Computer Science, University of Calgary, Alberta, Canada

  2. Discussion points • Why • Support further research • Allow creation of an InfoVis of my data • Integration of algorithms • Distinction of InfoVis aspects • Representation • Presentation • Integration • Geometry only • Concept of Meta-Vis

  3. Distance Metrics • distinction between orthogonal and radial layout • preserve topology, orthogonality, proximity

  4. L2 = (x1- x2)2 + (y1 - y2)2 Lp = (x1- x2)p + (y1 - y2)p Eucildean distance 2 p generalizing distance Distance metrics - L2

  5. L = max (|x1- x2|, |y1 - y2|) L = (x1- x2) + (y1 - y2) Distance metrics - L L Simplifies to

  6. L1 = |x1- x2|1 + | y1 - y2 |1 L1 = |x1- x2|+ |y1 - y2 | L1 Manhattan metric 1 Simplifies to Distance metrics - L1

  7. L L1 L2 L3 Lp = (x1- x2)p + (y1 - y2)p p Lp-metrics

  8. normal pointers lenses magnifypoint3D/2D additive magnify3D/2D blending mode pointers data environment viewpoint baseplane none EPF Library- environment class

  9. focal coordinates drop-off regions d-metric regions lens coordinates dimensionality focal shape lens limits lens EPF Library- lens class

  10. focal shape EPF Library- lens class

  11. L L1 L2 L3 d-metric regions distance metrics EPF Library- lens class

  12. auxiliary function drop-off regions drop-off function hemisphere Gaussian cosine linear EPF Library- lens class, drop-off function

  13. get data set data data EPF Library- data class

  14. Questions for this workshop • Is common infrastructure possible? • Algorithm integration • Distinction of InfoVis aspects • Representation • Presentation • Integration • Supporting easy application development • Supporting meta-vis • Supporting creativity

  15. Folding

  16. Folding

More Related