731
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Sand, silt, salt, water: entropy as a lens for design in post-industrial landscapes

ORCID Icon
Pages 769-781 | Published online: 30 Aug 2017
 

Abstract

Entropy is a contemporary buzzword in landscape architecture used to describe a vast range of material, environmental and social processes. Most uses of the word are loose appropriations of a very specific thermodynamic principle. This paper first explores some of the more common applications of entropy to describe post-industrial case study projects explored by Robert Smithson, Matthew Gandy, Gilles Clément and John Beardsley. It then suggests that entropy is a lens for understanding particular challenges associated with designing in landscapes that bear the traces of past industrial occupation. It concludes by offering a design technique using physical models of salt crystallisation, sand dispersal, sedimentation and water flow, for engaging with these themes as part of the design process. The paper suggests that viewing post-industrial sites through the lens of entropy raises productive design questions and that the indeterminacies of entropic processes are analogous to productive indeterminacies in the design process.

Acknowledgements

I would like to thank colleagues at the Edinburgh School of Architecture and Landscape Architecture for comments on earlier drafts of this paper, for feedback by anonymous referees, and for editing and proofreading assistance by Emma Bennett and Linda Moffitt.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 372.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.