160 likes | 253 Views
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
E N D
Information Visualization Toolkits Workshop2004 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 • Representation • Presentation • Integration • Geometry only • Concept of Meta-Vis
Distance Metrics • distinction between orthogonal and radial layout • preserve topology, orthogonality, proximity
L2 = (x1- x2)2 + (y1 - y2)2 Lp = (x1- x2)p + (y1 - y2)p Eucildean distance 2 p generalizing distance Distance metrics - L2
L = max (|x1- x2|, |y1 - y2|) L = (x1- x2) + (y1 - y2) Distance metrics - L L Simplifies to
L1 = |x1- x2|1 + | y1 - y2 |1 L1 = |x1- x2|+ |y1 - y2 | L1 Manhattan metric 1 Simplifies to Distance metrics - L1
L L1 L2 L3 Lp = (x1- x2)p + (y1 - y2)p p Lp-metrics
normal pointers lenses magnifypoint3D/2D additive magnify3D/2D blending mode pointers data environment viewpoint baseplane none EPF Library- environment class
focal coordinates drop-off regions d-metric regions lens coordinates dimensionality focal shape lens limits lens EPF Library- lens class
focal shape EPF Library- lens class
L L1 L2 L3 d-metric regions distance metrics EPF Library- lens class
auxiliary function drop-off regions drop-off function hemisphere Gaussian cosine linear EPF Library- lens class, drop-off function
get data set data data EPF Library- data class
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