Approximating Phenomenological Space

  • Christian Derix
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4200)


Architectural design requires a variety of representations to describe the many expressions a building can be observed through. Commonly, the form and space of a building are represented through the visual abstraction of projective geometry. The medium of geometric representation has become synonymous with architectural space.

The introduction of computational design in architecture has not changed our understanding or representation of architectural space, only of its geometric description and production processes. addition of the computer as a medium should allow us to open new ‘ways of seeing’ since the medium allows for novel descriptions and expressions via data processing hitherto impossible. This paper would like to propose some computational methods that could potentially describe and generate non-geometric but rather phenomenal expressions of architectural space.


Cellular Automaton Input Space Architectural Design Signal Space Implicit Surface 
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 2006

Authors and Affiliations

  • Christian Derix
    • 1
  1. 1.School of Architecture & Visual ArtsUniversity of East LondonLondon

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