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Spatial Text Visualization Using Automatic Typographic Maps
Dec. 2012 (vol. 18 no. 12)
pp. 2556-2564
| ASCII Text | x | ||
| 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. | |||
| BibTex | x | ||
| @article{ 10.1109/TVCG.2012.264, author = {Shehzad Afzal and Ross Maciejewski and Yun Jang and Niklas Elmqvist and David S. Ebert}, title = {Spatial Text Visualization Using Automatic Typographic Maps}, journal ={IEEE Transactions on Visualization and Computer Graphics}, volume = {18}, number = {12}, issn = {1077-2626}, year = {2012}, pages = {2556-2564}, doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.264}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Visualization and Computer Graphics TI - Spatial Text Visualization Using Automatic Typographic Maps IS - 12 SN - 1077-2626 SP2556 EP2564 EPD - 2556-2564 A1 - Shehzad Afzal, A1 - Ross Maciejewski, A1 - Yun Jang, A1 - Niklas Elmqvist, A1 - David S. Ebert, PY - 2012 KW - Geospatial analysis KW - Data visualization KW - Cities and towns KW - Rendering (computer graphics) KW - Spatial databases KW - label placement KW - Geovisualization KW - spatial data KW - text visualization VL - 18 JA - IEEE Transactions on Visualization and Computer Graphics ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.264
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
Citation:
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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