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Towards a “typification” of the Pedestrian Surrounding Space: Analysis of the Isovist Using Digital processing Method

  • Thomas LeducEmail author
  • Francoise Chaillou
  • Thomas Ouard
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC, volume 1)

Abstract

The aim of this paper is to couple the isovists field (a useful tool to determine the surroundings) with a classical digital signal processing method so as to classify the open spaces all along a pedestrian pathway and identify some urban patterns. Indeed, it could be of a great interest to determine automatically the type of surrounding spaces to improve the knowledge of the urban fabric at an intermediate level (the one of someone immersed in the city) and to make it possible to enrich its visual perception in real time using dedicated numerical devices. After a brief overview of visibility analysis methods, we focus on the isovist one. The remainder of this paper is dedicated to the methodology of visualscape fingerprint characterization we developed. At last, before concluding, we present a use case based on a real pathway.

Keywords

Fast Fourier Transform Discrete Fourier Transform Canyon Street Urban Fabric Profile Plot 
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 2011

Authors and Affiliations

  • Thomas Leduc
    • 1
    Email author
  • Francoise Chaillou
    • 1
  • Thomas Ouard
    • 1
  1. 1.CERMA laboratory UMR CNRSNantesFrance

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