RESEARCH ARTICLE

Spatio-visual experience of movement through the Yuyuan Garden: A computational analysis based on isovists and visibility graphs

  • Rongrong Yu , 1 ,
  • Michael J. Ostwald 2
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  • 1. School of Engineering and Built Environment, Griffith University, Australia
  • 2. School of Architecture and Built Environment, The University of Newcastle, Australia

Received date: 23 Oct 2017

Accepted date: 30 Jul 2018

Published date: 02 Jan 2019

Copyright

2018 2018 Higher Education Press Limited Company. Production and hosting by Elsevier B.V. on behalf of KeAi. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract

A traditional Chinese private garden (TCPG) is a historically important spatial type of garden that is well-known for its rich experiential properties. Although several theories have been used to explain the creation of these experiential properties, little evidence exists for any of the current explanations because TCPGs are complex environments and their visual properties change as a person moves through them. This study uses computational analysis—isovists, isovist fields, and visibility graphs—to measure the spatio-visual character of movement along a path through a well-known TCPG, namely, the 16th century Yuyuan Garden in Shanghai. The measures derived from this process are used to evaluate four theories on the spatial experience of the TCPG.

Cite this article

Rongrong Yu , Michael J. Ostwald . Spatio-visual experience of movement through the Yuyuan Garden: A computational analysis based on isovists and visibility graphs[J]. Frontiers of Architectural Research, 2018 , 7(4) : 497 -509 . DOI: 10.1016/j.foar.2018.08.003

Outlines

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