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Spatial Text Visualization Using Automatic Typographic Maps
Dec. 2012 (vol. 18 no. 12)
pp. 2556-2564
Shehzad Afzal, Purdue University
Ross Maciejewski, Arizona State University
Yun Jang, Sejong University
Niklas Elmqvist, Purdue University
David S. Ebert, 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.
Index Terms:
Geospatial analysis,Data visualization,Cities and towns,Rendering (computer graphics),Spatial databases,label placement,Geovisualization,spatial data,text visualization
Shehzad Afzal, Ross Maciejewski, Yun Jang, Niklas Elmqvist, David S. Ebert, "Spatial Text Visualization Using Automatic Typographic Maps," IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 12, pp. 2556-2564, Dec. 2012, doi:10.1109/TVCG.2012.264
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