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dc.contributor.authorKobourov, Stephen
dc.contributor.authorNusrat, Sabrina
dc.date.accessioned2016-11-04T18:57:30Z
dc.date.available2016-11-04T18:57:30Z
dc.date.issued2016-06
dc.identifier.issn0167-7055
dc.identifier.doi10.1111/cgf.12932
dc.identifier.urihttp://hdl.handle.net/10150/621282
dc.description.abstractCartograms combine statistical and geographical information in thematic maps, where areas of geographical regions (e.g., countries, states) are scaled in proportion to some statistic (e.g., population, income). Cartograms make it possible to gain insight into patterns and trends in the World around us and have been very popular visualizations for geo-referenced data for over a century. This Work surveys cartogram research in visualization, cartography and geometry, covering a broad spectrum of different cartogram types: from the traditional rectangular and table cartograms, to Dorling and diffusion cartograms. A particular focus is the study of the major cartogram dimensions: statistical accuracy, geographical accuracy, and topological accuracy. We review the history of cartograms, describe the algorithms for generating them, and consider task taxonomies. We also review quantitative and qualitative evaluations, and we use these to arrive at design guidelines and research challenges.
dc.language.isoenen
dc.publisherWILEY-BLACKWELLen
dc.relation.urlhttp://www.cs.arizona.edu/~kobourov/papers.htmlen
dc.rights© 2016 The Author(s). Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleThe State of the Art in Cartogramsen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Comp Scien
dc.identifier.journalComputer Graphics Forumen
dc.description.note12 month embargoen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal accepted manuscripten
dc.internal.reviewer-noteAmanda.en
refterms.dateFOA2017-07-01T00:00:00Z
html.description.abstractCartograms combine statistical and geographical information in thematic maps, where areas of geographical regions (e.g., countries, states) are scaled in proportion to some statistic (e.g., population, income). Cartograms make it possible to gain insight into patterns and trends in the World around us and have been very popular visualizations for geo-referenced data for over a century. This Work surveys cartogram research in visualization, cartography and geometry, covering a broad spectrum of different cartogram types: from the traditional rectangular and table cartograms, to Dorling and diffusion cartograms. A particular focus is the study of the major cartogram dimensions: statistical accuracy, geographical accuracy, and topological accuracy. We review the history of cartograms, describe the algorithms for generating them, and consider task taxonomies. We also review quantitative and qualitative evaluations, and we use these to arrive at design guidelines and research challenges.


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