VIS-STAMP: A Visualization System for Space-Time and Multivariate Patterns

VIS-STAMP is a geo-visual analytic software package that couples computational, visual, and cartographic methods for exploring and understanding spatio-temporal and multivariate data. It can help analysts investigate complex patterns across multivariate, spatial, and temporal dimensions via clustering, sorting, and visualization. Specifically, VIS-STAMP builds on a self-organizing map, a parallel coordinate plot, several forms of reorderable matrices , and a geographic small multiple display.

Related Publication: 
  • 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. 
  • Guo, D. and M. Gahegan (2006). "Spatial Ordering and Encoding for Geographic Data Mining and Visualization", Journal of Intelligent Information Systems, 27(3), pp.243-266.
  • Guo, D., K. Liao, M. Morgan (2007). "Visualizing Patterns in a Global Terrorism Incident Database", Environment and Planning B: Planning and Design. 34, pp. 767-784.
  • 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. and J. Wu* (2012). "Understanding Spatio-temporal Patterns of Multiple Crime Types with a Geovisual Analytics Approach", Crime Modeling and Mapping Using Geospatial Technologies , edited by M. Leitner. Springer.

For the software, please contact and provide necessary information such as your name, title, institution, and a brief  description of your project that needs the software.

vis-stamp manual1013.59 KB
visstamp_sampledata.zip186.02 KB

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).