A Classification of Multidimensional Open Data for Urban Morphology

Alexiou, Alexandros ORCID: 0000-0003-3533-3238, Singleton, Alex and Longley, Paul A
(2016) A Classification of Multidimensional Open Data for Urban Morphology. Built Environment, 42 (3). pp. 382-395.

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Identifying socio-spatial patt erns through geodemographic classifi cation has proven utility over a range of disciplines. While most of these spatial classification systems include a plethora of socioeconomic attributes, there is arguablylitt le to no input regarding attributes of the built environment or physical space, and their relationship to socioeconomic profi les within this context has not been evaluated in any systematic way. This research explores the generation of neighbourhood characteristics and other attributes using a geographic data science approach, taking advantage of the increasing availability of such spatial data from open data sources. We adopt a SOM (Self-Organizing Maps) methodology to create a classification of Multidimensional Open Data Urban Morphology (MODUM) and test the extent to which this output systematically follows conventional socioeconomic profiles. Such an analysis can also provide a simplified structure of the physical properties of geographic space that can be further used as input to more complex socioeconomic models.

Item Type: Article
Depositing User: Symplectic Admin
Date Deposited: 15 Nov 2018 10:01
Last Modified: 19 Jan 2023 01:12
DOI: 10.2148/benv.42.3.382
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3028830