Dr. Alark Joshi is a postdoctoral associate in the Department ofDiagnostic Radiology at Yale University. His work has beenpublished at the annual IEEE Visualization conference, theEuroVis conference as well as the IEEE Transactions onVisualization and Computer Graphics.

Time-varying data is generated or measured in domainsas diverse as computational fluid dynamics, hurricanes
and so on. The data generally contains specific
features as well as events that are of interest to an
application
expert.

We present novel art-inspired techniques for
visualizing time-varying data that conveys
change over time in a single image. Illustrators and
painters have conveyed concepts such as motion
and other change over time using illustrative cues.
Time-varying data in which three-dimensional
features are moving over time, can be effectively
visualized using our illustrative techniques
such as speedlines, flow ribbons, strobe silhouettes
and opacity-based techniques. We applied
these techniques to computational fluid dynamics data
as well as hurricanes. Our illustration-inspired
techniques
allowed our collaborators to obtain further insight
into the evolution and intensification of a hurricane.

For effectively visualizing time-varying data such as
infant mortality, global rainfall, voting patterns
over time,
we developed a novel pointillism-based technique
inspired by Seurat. These techniques convey variability
as well as trends over time in a single image.