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An open source delineation and hierarchical classification of UK retail agglomerations
Town centres and high streets typically form the social and commercial cores of UK cities and towns, yet, there is no uniform definition of what a town centre or high street is. In this study the spatial delineations of retail agglomerations are generated using open-source data for England, Wales, S...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440905/ https://www.ncbi.nlm.nih.gov/pubmed/36057644 http://dx.doi.org/10.1038/s41597-022-01556-3 |
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author | Macdonald, Jacob L. Dolega, Les Singleton, Alex |
author_facet | Macdonald, Jacob L. Dolega, Les Singleton, Alex |
author_sort | Macdonald, Jacob L. |
collection | PubMed |
description | Town centres and high streets typically form the social and commercial cores of UK cities and towns, yet, there is no uniform definition of what a town centre or high street is. In this study the spatial delineations of retail agglomerations are generated using open-source data for England, Wales, Scotland and Northern Ireland. The extent and boundaries of these physical retail areas are identified based on the density and connectivity patterns of individual retail units over space. A high resolution hexagonal grid is superimposed over spatial clusters of retail points and a network-based algorithm used to identify mutually exclusive tracts. Agglomerations are then pruned and fine-tuned according to a series of heuristic rules. Our retail agglomerations represent local commerce areas with shopping amenities and are assigned to a hierarchical classification ranking from the largest Regional Centres, Major Town Centres and Town Centres, down to Small Local Centres and Retail Parks. The classification into one of eleven hierarchies is based on a combination of relative rank in the local area and absolute size of retail units within the area. These retail agglomeration boundaries, hierarchical classification and lookups form an open-source spatial data product available for wide use and research implementation. |
format | Online Article Text |
id | pubmed-9440905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94409052022-09-05 An open source delineation and hierarchical classification of UK retail agglomerations Macdonald, Jacob L. Dolega, Les Singleton, Alex Sci Data Data Descriptor Town centres and high streets typically form the social and commercial cores of UK cities and towns, yet, there is no uniform definition of what a town centre or high street is. In this study the spatial delineations of retail agglomerations are generated using open-source data for England, Wales, Scotland and Northern Ireland. The extent and boundaries of these physical retail areas are identified based on the density and connectivity patterns of individual retail units over space. A high resolution hexagonal grid is superimposed over spatial clusters of retail points and a network-based algorithm used to identify mutually exclusive tracts. Agglomerations are then pruned and fine-tuned according to a series of heuristic rules. Our retail agglomerations represent local commerce areas with shopping amenities and are assigned to a hierarchical classification ranking from the largest Regional Centres, Major Town Centres and Town Centres, down to Small Local Centres and Retail Parks. The classification into one of eleven hierarchies is based on a combination of relative rank in the local area and absolute size of retail units within the area. These retail agglomeration boundaries, hierarchical classification and lookups form an open-source spatial data product available for wide use and research implementation. Nature Publishing Group UK 2022-09-03 /pmc/articles/PMC9440905/ /pubmed/36057644 http://dx.doi.org/10.1038/s41597-022-01556-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Macdonald, Jacob L. Dolega, Les Singleton, Alex An open source delineation and hierarchical classification of UK retail agglomerations |
title | An open source delineation and hierarchical classification of UK retail agglomerations |
title_full | An open source delineation and hierarchical classification of UK retail agglomerations |
title_fullStr | An open source delineation and hierarchical classification of UK retail agglomerations |
title_full_unstemmed | An open source delineation and hierarchical classification of UK retail agglomerations |
title_short | An open source delineation and hierarchical classification of UK retail agglomerations |
title_sort | open source delineation and hierarchical classification of uk retail agglomerations |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440905/ https://www.ncbi.nlm.nih.gov/pubmed/36057644 http://dx.doi.org/10.1038/s41597-022-01556-3 |
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