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Green Image
Issue No. 12 - Dec. (2012 vol. 18)
ISSN: 1077-2626
pp: 2556-2564
Niklas Elmqvist , Purdue University
Yun Jang , Sejong University
Ross Maciejewski , Arizona State University
David S. Ebert , Purdue University
Shehzad Afzal , Purdue University
We present a method for automatically building typographic maps that merge text and spatial data into a visual representation where text alone forms the graphical features. We further show how to use this approach to visualize spatial data such as traffic density, crime rate, or demographic data. The technique accepts a vector representation of a geographic map and spatializes the textual labels in the space onto polylines and polygons based on user-defined visual attributes and constraints. Our sample implementation runs as a Web service, spatializing shape files from the OpenStreetMap project into typographic maps for any region.
Geospatial analysis, Data visualization, Cities and towns, Rendering (computer graphics), Spatial databases, label placement, Geovisualization, spatial data, text visualization
Niklas Elmqvist, Yun Jang, Ross Maciejewski, David S. Ebert, Shehzad Afzal, "Spatial Text Visualization Using Automatic Typographic Maps", IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 2556-2564, Dec. 2012, doi:10.1109/TVCG.2012.264
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