Typographic Map Generation

Overview
This project explores method for automatically building typographic maps that merge text and spatial data into a visual representation where text alone forms the graphical features. 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 spatializes shape files from the OpenStreetMap project into typographic maps for any region into a PNG image. Eventually, our goal is to release this program as a web application for anyone to try.



Publications
Shehzad Afzal, Ross Maciejewski, Yun Jang, Niklas Elmqvist, and David S. Ebert. Spatial Text Visualization Using Automatic Typographic Maps. IEEE Transactions on Visualization and Computer Graphics, 2012. PDF EXE