Mosaic Drawings and Cartograms

Cartograms visualize quantitative data about a set of regions such as countries or states. There are several different types of cartograms and – for some – algorithms to automatically construct them exist. We focus on mosaic cartograms: cartograms that use multiples of simple tiles – usually squares...

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Vydané v:Computer graphics forum Ročník 34; číslo 3; s. 361 - 370
Hlavní autori: Cano, R. G., Buchin, K., Castermans, T., Pieterse, A., Sonke, W., Speckmann, B.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.06.2015
Predmet:
Algorithms
Analysis
Cartography
Categories and Subject Descriptors (according to ACM CCS)
Computer graphics
Construction
Data analysis
Graphs
Hexagons
I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation
Image processing systems
Mosaics
Studies
Tiles
ISSN:0167-7055, 1467-8659
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Popis
Shrnutí:Cartograms visualize quantitative data about a set of regions such as countries or states. There are several different types of cartograms and – for some – algorithms to automatically construct them exist. We focus on mosaic cartograms: cartograms that use multiples of simple tiles – usually squares or hexagons – to represent regions. Mosaic cartograms communicate well data that consist of, or can be cast into, small integer units (for example, electorial college votes). In addition, they allow users to accurately compare regions and can often maintain a (schematized) version of the input regions’ shapes. We propose the first fully automated method to construct mosaic cartograms. To do so, we first introduce mosaic drawings of triangulated planar graphs. We then show how to modify mosaic drawings into mosaic cartograms with low cartographic error while maintaining correct adjacencies between regions. We validate our approach experimentally and compare to other cartogram methods.
Bibliografia:istex:1B9F4E980C2A3644AEF092700A9941B61917F06A
ArticleID:CGF12648
ark:/67375/WNG-TKDG2DTZ-4
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12648