Simon Urbanek - R Graphics: supercharged

New features:

• rasterImage() (R2.11)
• bitmap raster drawing;
• have maps as data backdrops.
• Polygons with holes: polypath() -(R2.12)
• At present there is no way to tell when to actually show the plot. For example: plot(x); lines(x). Should we display the plot after plot or after lines
• Solution dev.hold() and dev.flush()
• Better performance and useful for animations – (currently in R-dev).

Challenges

Data size increases, but large RAM (>100GB) and CPU power is affordable. Visualization needs to keep up.

• Currently rendering is slow. Solutions: OpenGL + GPUs.
• Visualisation methods for large data
• interactivity (divide and conquer, shift of focus): use iPlots eXtreme (very nice demo of iplots!)
• sufficient statistics, aggregations, etc.

Links

• iPlots
• Acinonyx

Note: lots of very nice demos, hence the lack of notes.

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