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
approach with examples from several domains All the
maps referenced in this paper can be found in
http://www.research.att.com/~yifanhu/GMap
%0 Journal Article
%1 gansner2009drawing
%A Gansner, Emden R.
%A Hu, Yifan
%A Kobourov, Stephen G.
%D 2009
%J cs.CG
%K 2012 citedBy:doerfel2012publication gmap graphviz icfca visualization
%T GMap: Drawing Graphs as Maps
%U http://arxiv.org/abs/0907.2585
%V arXiv:0907.2585v1
%X 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
approach with examples from several domains All the
maps referenced in this paper can be found in
http://www.research.att.com/~yifanhu/GMap
@article{gansner2009drawing,
abstract = {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
approach with examples from several domains All the
maps referenced in this paper can be found in
http://www.research.att.com/~yifanhu/GMap},
added-at = {2012-03-05T11:20:40.000+0100},
author = {Gansner, Emden R. and Hu, Yifan and Kobourov, Stephen G.},
biburl = {https://www.bibsonomy.org/bibtex/23f9e522da9443c0a07c39009918a4a77/kde},
interhash = {881280a1a2aa34d84322d3781f62ca90},
intrahash = {3f9e522da9443c0a07c39009918a4a77},
journal = {cs.CG},
keywords = {2012 citedBy:doerfel2012publication gmap graphviz icfca visualization},
month = jul,
timestamp = {2012-03-05T11:25:04.000+0100},
title = {{GMap}: Drawing Graphs as Maps},
url = {http://arxiv.org/abs/0907.2585},
volume = {arXiv:0907.2585v1},
year = 2009
}