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).

Related Publication: 
  • Guo, D., M. Gahegan, A.M. MacEachren, and B. Zhou. (2005) "Multivariate Analysis and Geovisualization with an Integrated Geographic Knowledge Discovery Approach". Cartography and Geographic Information Science,Vol. 32, No. 2, pp. 113-132. (Publications that cited this paper)
  • Guo, D., J. Chen, A. M. MacEachren, and K. Liao (2006), "A Visualization System for Spatio- Temporal and Multivariate Patterns (VIS-STAMP)", IEEE Transactions on Visualization and Computer Graphics, 12(6), pp. 1461-1474. (Publications that cited this paper)
  • Jin, H. & D. Guo. (2009) "Understanding Climate Change Patterns with Multivariate Geovisualization". In Proceedings - IEEE International Conference on Data Mining Workshops, 217-222. Miami, FL, USA: IEEE Press.
  • Guo, D. (2009) "Multivariate Spatial Clustering and Geovisualization". In Geographic Data Mining and Knowledge Discovery, edited by H. J. Miller and J. Han. London and New York, Taylor & Francis, pp. 325-345.

Java is needed to run the following software. You can verify if Java is already installed on your computer at this link: http://java.com/en/download/installed.jsp.

AttachmentSize
48states.zip149.31 KB
somvis.pdf818.61 KB
somvis2.0.jar8.39 MB

Comments

How to output SOMVIS results?

In SOMVIS, you may use File --> Save SOM Nodes .. to generate two files in csv format:
(1) yourfilename_somnodes.csv: which has the mean vector of each SOM node. SOM ID starts from zero and is assigned its position in the SOM view, from left to right and from top to bottom. In other words, the ID of the top-left node in the SOM view is 0.
(2) yourfilename_dataID_somID.csv: which shows which SOM node that each data record in the original shape file) belong to.
 

If you cannot run the Jar file

If you cannot run the Jar file, please let us know. We just found that the server had a default time limit (3 minutes) for downloading. A slow internet connection may cause that you don't have the complete file. We have increased the time limit to 20 minutes.

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).