1. Information Visualization Toolkits Workshop 2004 Sheelagh Carpendale Department of Computer Science, University of Calgary, Alberta, Canada 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 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 distinction between orthogonal and radial layout preserve topology, orthogonality, proximity

4. Distance metrics - L 2 L 2 = (x 1 - x 2 ) 2 + (y 1 - y 2 ) 2 2 Eucildean distance Eucildean distance generalizing distance generalizing distance L p = (x 1 - x 2 ) p + (y 1 - y 2 ) p p

5. Distance metrics - L L = (x 1 - x 2 ) + (y 1 - y 2 ) L L Simplifies to L = max ( | x 1 - x 2 |, | y 1 - y 2 |)

6. Distance metrics - L 1 L 1 = | x 1 - x 2 | 1 + | y 1 - y 2 | 1 1 L 1 Manhattan metric L 1 Manhattan metric Simplifies to L 1 = | x 1 - x 2 | + | y 1 - y 2 |

7. L p -metrics L p = (x 1 - x 2 ) p + (y 1 - y 2 ) p p L1L1 L1L1 L2L2 L2L2 L L L3L3 L3L3

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

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

10. EPF Library- lens class focal shape

11. EPF Library- lens class L1L1 L1L1 L2L2 L2L2 L L L3L3 L3L3 distance metrics d-metric regions

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

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

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 Is common infrastructure possible? Algorithm integration Distinction of InfoVis aspects –Representation –Presentation –Integration Supporting easy application development Supporting meta-vis Supporting creativity

15. Folding