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Trees 3. cs5984: Information Visualization Chris North. Nifty App of the Day. SAS JMP. Review. Connection (node & link) Hyperbolic, Conetree, … Containment (node in node) Treemap, Sunburst, … Scale: <=1000. A. B. C. A. B. C. Today. Beaudoin, “Cheops”, web Satya, Sumithra.
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Trees 3 cs5984: Information Visualization Chris North
Nifty App of the Day • SAS JMP
Review • Connection (node & link) • Hyperbolic, Conetree, … • Containment (node in node) • Treemap, Sunburst, … • Scale: <=1000 A B C A B C
Today • Beaudoin, “Cheops”, web • Satya, Sumithra
The Original Fisheye View • George Furnas, 1981 (pg 311) • Large information space • User controlled focus point • How to render items? • Normal View: just pick items nearby • Fisheye View: pick items based on degree of interest • Degree of Interest = function of distance from f and a priori importance • DOI(x) = -dist(x,f) + imp(x) f x
Example: Tree structure • Distance = # links between f and x • Importance = level of x in tree Distance: I 3 A 2 a 3 i 4 ii 4 b 1 i 2 ii 0 B 4 a 5 i 6 ii 6 b 5 i 6 ii 6 Importance: I 0 A -1 a -2 i -3 ii -3 b -2 i -3 ii -3 B -1 a -2 i -3 ii -3 b -2 i -3 ii -3 DOI: I -3 A -3 a -5 i -7 ii -7 b -3 i -5 ii -3 B -5 a -7 i -9 ii -9 b -7 i -9 ii -9 f
Assignment • Read for Thurs • Wills, “NicheWorks”, web • Denzil, Aarthi • Read for Tues • Korn, “Multi-Digraphs”, web • Shumei, Yuying • Homework #3: Tues Mar 20