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.
Design and prototypical implementation of the FacetZoom technique using an existing framework for interactive visualization of time-oriented data that is based on prefuse
[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:
• 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:
Die Javadoc API Documentation: