• 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