GMap: Drawing Graphs as Maps [article]

Emden R. Gansner, Yifan Hu, Stephen G. Kobourov
2009 arXiv   pre-print
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through dimensionality reduction techniques. However, these traditional methods often do not capture well the underlying structural information, clustering, and neighborhoods. In this paper, we describe GMap: a practical tool for visualizing relational data with geographic-like maps. We illustrate the effectiveness of this
more » ... roach with examples from several domains All the maps referenced in this paper can be found in http://www.research.att.com/~yifanhu/GMap
arXiv:0907.2585v1 fatcat:5jfc3jhkbzfg3j64klw5yy6ufi