@conference {16136,
	title = {Data exploration with paired hierarchical visualizations: initial designs of PairTrees},
	booktitle = {Proceedings of the 2003 annual national conference on Digital government research},
	series = {dg.o {\textquoteright}03},
	year = {2003},
	month = {2003///},
	pages = {1 - 6},
	publisher = {Digital Government Society of North America},
	organization = {Digital Government Society of North America},
	abstract = {Paired hierarchical visualizations (PairTrees) integrate treemaps, node-link diagrams, choropleth maps and other information visualization techniques to support exploration of hierarchical data sets at multiple levels of abstraction. This paper describes several novel applications of PairTrees in the econometric and health statistics domains, as well as some challenges and trade-offs inherent in the technique.},
	url = {http://dl.acm.org/citation.cfm?id=1123196.1123233},
	author = {Kules,Bill and Shneiderman, Ben and Plaisant, Catherine}
}
