Characterising the Morphology of Suburban Settlements: A Method Based on a Semi-automatic Classification of Building Clusters
Fabian de Smet and
Jacques Teller
Landscape Research, 2016, vol. 41, issue 1, 113-130
Abstract:
Urban sprawl is transforming our landscapes and rural areas at a spectacular pace. Measuring the strength of the phenomenon and proposing dynamic ways to delineate suburban areas have been the object of much debate amongst scientists. The present article takes the view that, beyond measuring and delineating suburban areas, more efforts should be directed to qualifying the morphology of built settlements within these areas. Therefore, it proposes a method based on a semi-automatic classification system of building clusters, designed to describe and interpret the phenomenon from a morphological perspective. This method is based on a combination of field surveys with numerical analyses of digital land cadastre maps. The application of this classification system to the suburban area around Liege reveals that, far from developing in a complete indifference of local conditions, contemporary suburban settlements are influenced by landscape structures inherited from the past.
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/01426397.2015.1045464 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:clarxx:v:41:y:2016:i:1:p:113-130
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/clar20
DOI: 10.1080/01426397.2015.1045464
Access Statistics for this article
Landscape Research is currently edited by Dr Anna Jorgensen
More articles in Landscape Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().