SOMVIS: Multivariate Mapping and Visualization

SomVis is an integrated software tool that is able to: (1) perform multivariate analysis, dimensional reduction, and data reduction (summarizing a large number of input data items in a moderate number of clusters) with the Self-Organizing Map (SOM); (2) encode theSOM result with a systematically designed color scheme; (3) visualize the multivariate patterns with a modified Parallel Coordinate Plot (PCP) display and a geographic map (GeoMap); and (4) support human interactions to explore and examine patterns. Computational and visual methods, once combined together, can mitigate each other’s weakness and collaboratively discover complex patterns in large geographic datasets, in an effective and efficient way.

Multivariate mapping of global climate change, see Jin and Guo. (2009) and Guo, D. (2009).

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The materials distributed on this website since 2008 are based upon work partially supported by the National Science Foundation under Grant No. 0748813. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).