Publikation:

Efficient cartogram generation : a comparison

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InfoVis02.pdf
InfoVis02.pdfGröße: 846.19 KBDownloads: 488

Datum

2002

Autor:innen

North, Stephen C.
Panse, Christian
Schneidewind, Jörn

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http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-69822
DOI (zitierfähiger Link)
https://doi.org/10.1109/INFVIS.2002.1173144
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Attribution-NonCommercial-NoDerivs 2.0 Generic

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Open Access Green

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Published

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IEEE Symposium on Information Visualization, 2002. INFOVIS 2002.. IEEE Comput. Soc, 2002, pp. 33-36. ISBN 0-7695-1751-X. Available under: doi: 10.1109/INFVIS.2002.1173144

Zusammenfassung

Cartograms are a well-known technique for showing geography-related statistical information, such as population demographics and epidemiological data. The basic idea is to distort a map by resizing its regions according to a statistical parameter, but in a way that keeps the map recognizable. In this paper, we deal with the problem of making continuous cartograms that strictly retain the topology of the input mesh. We compare two algorithms to solve the continuous cartogram problem. The first one uses an iterative relocation of the vertices based on scanlines. The second one is based on the Gridfit technique, which uses pixel-based distortion based on a quadtree-like data structure.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

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Konferenz

InfoVis 2002. IEEE Symposium on Information Visualization, Boston, MA, USA
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ISO 690KEIM, Daniel A., Stephen C. NORTH, Christian PANSE, Jörn SCHNEIDEWIND, 2002. Efficient cartogram generation : a comparison. InfoVis 2002. IEEE Symposium on Information Visualization. Boston, MA, USA. In: IEEE Symposium on Information Visualization, 2002. INFOVIS 2002.. IEEE Comput. Soc, 2002, pp. 33-36. ISBN 0-7695-1751-X. Available under: doi: 10.1109/INFVIS.2002.1173144
BibTex
@inproceedings{Keim2002Effic-5411,
  year={2002},
  doi={10.1109/INFVIS.2002.1173144},
  title={Efficient cartogram generation : a comparison},
  isbn={0-7695-1751-X},
  publisher={IEEE Comput. Soc},
  booktitle={IEEE Symposium on Information Visualization, 2002. INFOVIS 2002.},
  pages={33--36},
  author={Keim, Daniel A. and North, Stephen C. and Panse, Christian and Schneidewind, Jörn}
}
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