@article{TD-55DREV,
	address={Los Alamitos, CA, USA},
	att_abstract={Cartograms are a well-known technique for showing geography-related statistical information, such as demographic and epidemiological data. The idea is to distort a map by resizing its regions according to a statistical parameter, but in a way that keeps the map recognizable. This article describes a method of continuous cartogram generation, which strictly retains the input map's topology. It presents an algorithm that makes cartograms by iterative relocation of the map's vertices, guided by a modified medial axes transformation. Application experiments show that the proposed algorithm can make high-quality cartograms in interactive time, even for large maps. Additional examples help to demonstrate its potential.},
	att_authors={sn1789, },
	att_categories={C_IIS.7,C_CCF.11},
	att_copyright={},
	att_copyright_notice={},
	att_private={false},
	att_projects={IV_INFOVIS},
	att_techdoc={true},
	att_techdoc_key={TD-55DREV},
	att_url={http://silk/areas/visualization/papers_videos/pdf/DBLP-journals-cga-KeimPN05.pdf},
	author={Daniel Keim, Stephen North, Christian Panse},
	doi={http://dx.doi.org/10.1109/MCG.2005.64},
	issn={0272-1716},
	journal={IEEE Comput. Graph. Appl.},
	number=3,
	pages={60--68},
	publisher={IEEE Computer Society Press},
	title={Medial-Axis-Based Cartograms},
	volume=25,
	year=2005,
}