DOI TimeScale for Medical Histories
Problem
Sparsely populated datasets are challenging to visualize because periods of a high level of activity might be followed by long periods of no data. To complement this, a DOI (degree-of-interest) technique should be applied that represents time not linearly but depending on the data density. Such a DOI functionality should be designed and implemented for time and its granularities.
Aim
Design and prototypical implementation of the FacetZoom technique using an existing framework for interactive visualization of time-oriented data that is based on prefuse
Other information
[Sarkar and Brown, 1993] Sarkar Manojit, Brown H. Marc, Graphical fisheye views, Communications of the ACM 37 (12) (1994) 73 - 83, http://portal.acm.org/citation.cfm?coll=GUIDE&dl=GUIDE&id=198384, last visit: 24th of April 2006.
Information about prefuse:
InfoVis:Wiki
http://www.infovis-wiki.net/index.php?title=Prefuse
For beginners:
• Explore the demos in the online gallery http://www.prefuse.org/gallery/
• Download the toolkit www.prefuse.org
• Have a overview on the Prefuse classes
• Run the demos that come with Prefuse download.
• Read the user's manual: http://www.prefuse.org/doc/manual/ especially the introduction.
• Read and try out tutorials:
http://www.ifs.tuwien.ac.at/~rind/w/doku.php/java/prefuse-scatterplot
http://www.infovis-wiki.net/images/d/d7/Prefuse-tutorial-20061127-handout.pdf
http://www.cs.mun.ca/~hoeber/teaching/cs4767/notes/04-prefuse/
Die Javadoc API Documentation:
http://prefuse.org/doc/api/