Abstract
A representational scheme is described for cities, which uses the spectrum of the graph derived from a network of streets. This is of a sufficiently high dimensionality both to capture information of the city structure and to allow different representations of urban types to be extracted from it. It is proposed that a machine can extract the ‘genotype’ description that classifies a given group of cities. Results demonstrate that these capture morphological relationships between cities, and reveal correlations between these and a city’s geographical location. This has implications for our understanding of design processes and the modelling of creativity, in that the final representation can be made autonomously by the computer, rather than predefined by a priori standards.
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Acknowledgments
Many of the axial maps of Brazilian cities were originally compiled by Valerio Augusto Soares de Medeiros. The better part of the remainder used are unfortunately uncredited, so I would like to thank the unnamed authors as well as Shinichi Iida and Bill Hillier who have maintained and provided access to the bulk of the data set. This research has been supported in part by an EPSRC fellowship (EP/E500706/1).
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Hanna, S. (2014). A Representational Scheme for the Extraction of Urban Genotypes. In: Gero, J. (eds) Design Computing and Cognition '12. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9112-0_26
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DOI: https://doi.org/10.1007/978-94-017-9112-0_26
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