Compress those large data sets
To perform analysis and visualization techniques on large scientific databases such as climate model data, Ed Oblow and Ron Lee are studying several innovative data-compression and visualization techniques. Currently, the compression algorithm used takes the original data and quantizes it using color coding theory and innovative scalar quantization methods. The results are designed to achieve compression ratios greater than 100:1 while ensuring 1% data errors. The site also has a Motif application for viewing 4-D data.