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Characteristic Visual Complexity: Fractal Dimensions in the Architecture of Frank Lloyd Wright and Le Corbusier

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Architecture and Mathematics from Antiquity to the Future

Abstract

In the late 1970s Mandelbrot argued that natural systems frequently possess characteristic geometric or visual complexity over multiple scales of observation, suggesting that systems which have evolved over time may exhibit certain local visual qualities that also possess deep structural resonance. In mathematics this led to the formulation of fractal geometry and was central to the rise of the sciences of non-linearity and complexity. This concept was developed in relation to architectural design and urban planning, and architectural scholars have suggested that such approaches might be used in the analysis of historic buildings. At the heart of this approach, in both its theoretical and computational forms, is a set of rules for analysing buildings. However, the assumptions implicit in this method have never been adequately questioned. This chapter returns to the origins of the conventional “box counting” method of fractal analysis for historic buildings to reconsider the initial interpretations of the architecture of Le Corbusier and Frank Lloyd Wright.

First published as: Michael Ostwald , Josephine Vaughan and Chris Tucker, “Characteristic Visual Complexity: Fractal Dimensions in the Architecture of Frank Lloyd Wright and Le Corbusier ”. Pp. 217–231 in Nexus VII: Architecture and Mathematics, Kim Williams, ed. Turin: Kim Williams Books, 2008.

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Notes

  1. 1.

    While Bovill ’s Robie House façade is a relatively close approximation of Wright’s original elevation, the elevation Bovill uses of the Villa Savoye lacks the same level of detail and it is less consistent in its relationship with the original.

  2. 2.

    In its default mode, Benoit determines starting grid size by dividing the shortest input boundary by four. The grid is then extrapolated across the image until the last complete grid-line fits on the page. Any additional space in the source image is deleted. Thus, if the input image was 500 × 1020 pixels, then Benoit identifies a 4 × 8 grid of 125 × 125 pixels and it discards a 20 pixel wide slice of space at the boundary of the input image.

  3. 3.

    The settings of Benoit were modified to match Archimage’s. Thus scaling coefficients, grid angles, and line widths are consistent between the two programs.

  4. 4.

    Despite its designation, original working drawings record that this project was for Raymond W. Evans.

  5. 5.

    Archimage and Benoit produce data to three or more decimal places but present it rounded to, respectively, two and three decimal points. In the present research the D (Arch + Benoit) values are rounded to two decimal places while D (Comp) results are left at three (because they are an average of two results).

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Correspondence to Michael J. Ostwald .

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Ostwald, M.J., Vaughan, J., Tucker, C. (2015). Characteristic Visual Complexity: Fractal Dimensions in the Architecture of Frank Lloyd Wright and Le Corbusier. In: Williams, K., Ostwald, M. (eds) Architecture and Mathematics from Antiquity to the Future. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-00143-2_22

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