Automatic Generation of Residential Areas using Geo-Demographics

  • Paul Richmond
  • Daniela Romano
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


The neighbourhood aspect of city models is often overlooked in methods of generating detailed city models. This paper identifies two distinct styles of virtual city generation and highlights the weaknesses and strengths of both, before proposing a geo-demographically based solution to automatically generate 3D residential neighbourhood models suitable for use within simulative training. The algorithms main body of work focuses on a classification based system which applies a texture library of captured building instances to extruded and optimised virtual buildings created from 2D GIS data.


Automatic Generation City Model Shape Grammar Ordnance Survey Geographic Information System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Paul Richmond
    • 1
  • Daniela Romano
    • 1
  1. 1.University of SheffieldSheffield

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