id 
ecaade2009_010 
authors 
Ostwald, Michael; Vaughan, Josephine 
year 
2009 
title 
A DataCluster Analysis of Façade Complexity in the Early House Designs of Peter Eisenman 
source 
Computation: The New Realm of Architectural Design [27th eCAADe Conference Proceedings / ISBN 9780954118389] Istanbul (Turkey) 1619 September 2009, pp. 729736 
wos 
WOS:000334282200088 
summary 
Relatively few quantifiable and objective methods exist for the analysis of architectural elevations. Only one of these methods has been repeated by multiple researchers and used for the analysis of a wide range of historic and modern buildings and architectural types. In the present paper, the computational variation of this method–the fractal approach to determining characteristic visual complexity–is applied to the early house designs of Peter Eisenman. The results of this analysis are then subjected, for the first time, to cluster analysis in an attempt to uncover patterns in the way in which Eisenman’s houses are shaped by orientation, address and permeability. Such an analysis is of interest because Eisenman argues that he set out to design these early houses without regard for such factors. The paper concludes that the mathematical data generally supports Eisenman’s contentions regarding his Houses I, II, III, IV and VI. 
keywords 
Visual complexity, fractal analysis, dataclustering, Peter Eisenman 
series 
eCAADe 
email 
Michael.Ostwald@newcastle.edu.au, Josephine.Vaughan@newcastle.edu.au 
full text 
file.pdf (784,155 bytes) 
references 
Contenttype: text/plain

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last changed 
2016/05/16 09:08 
