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Defining and delineating the central areas of towns for statistical monitoring using continuous surface representations

Thurstain-Goodwin, M; Unwin, D; (2000) Defining and delineating the central areas of towns for statistical monitoring using continuous surface representations. (CASA Working Papers 18). UCL (University College London), Centre for Advanced Spatial Analysis (UCL): London, UK. Green open access

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Abstract

The increasing availability of very high spatial resolution data using the unit postcode as its geo-reference is making possible new kinds of urban analysis andmodelling. However, at this resolution the granularity of the data used to representurban functions makes it difficult to apply traditional analytical and modellingmethods. An alternative suggested here is to use kernel density estimation totransform these data from point or area 'objects' into continuous surfaces of spatialdensities. The use of this transformation is illustrated by a study in which we attemptto develop a robust, generally applicable methodology for identifying the centralareas of UK towns for the purpose of statistical reporting and comparison.Continuous density transformations from unit post code data relating to a series ofindicators of town centredness created using ArcView are normalised and thensummed to give a composite ?Index of Town Centredness?. Selection of key contourson these index surfaces enables town centres to be delineated. The work results froma study on behalf of DETR.

Type: Working / discussion paper
Title: Defining and delineating the central areas of towns for statistical monitoring using continuous surface representations
Open access status: An open access version is available from UCL Discovery
Additional information: Imported via OAI, 7:29:01 19th Nov 2005
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/1363
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