DocumentCode :
829293
Title :
Medial-axis-based cartograms
Author :
Keim, Daniel A. ; Panse, Christian ; North, Stephen C.
Author_Institution :
Data Mining & Visualization Group, Konstanz Univ., Germany
Volume :
25
Issue :
3
fYear :
2005
Firstpage :
60
Lastpage :
68
Abstract :
Cartographers and geographers were making cartograms for centuries before digital computers and displays became available. In data visualization, an area cartogram distorts a map by resizing its regions according to some external geography-related parameter, such as population or epidemiological data. Cartograms are difficult to draw by hand because it´s difficult to simultaneously optimize shape and area error while preserving the original map´s topology. Automated methods for drawing cartograms have therefore received considerable interest. A method for generating cartograms that combines iterative relocation of a map´s vertices with medial-axis-based transformations retains the input map´s topology.
Keywords :
cartography; computational geometry; data visualisation; geographic information systems; image texture; cartography; data visualization; epidemiological data; geography-related parameter; map topology; medial-axis-based cartograms; Contracts; Geographic Information Systems; Humans; Load modeling; Nonlinear distortion; Optimization methods; Public healthcare; Root mean square; Rubber; Shape; cartodraw; cartogram; contiguous cartograms; drawing algorithm; geovisualization; information visualization; medial axes transformation; mesh transformation;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/MCG.2005.64
Filename :
1438259
Link To Document :
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