Ozer, Seyithan ORCID: https://orcid.org/0000-0003-4380-2700, 2021, Dataset, Inner London Dwelling Dimensions Dataset, 2017-2018
Abstract or Description: | This is the dwelling dimensions dataset referred to in Özer, Seyithan, 'Interior Complex: Design Standardization in London's Housing', PhD diss., Royal College of Art, 2021. The dataset contains dimensional and spatial data derived from a sample of housing floor plans collected from inner London (n=2,007). The initial sample of 5,278 dwelling unit plans were converted into dimensional and numerical data using machine learning algorithms provided by two companies, Archilogic and Archilyse. The floor plans were first digitized with the machine learning-based algorithm Archilyse provided, and then the data was extracted from these models with the algorithm Archilyse provided. |
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Official URL: | https://reshare.ukdataservice.ac.uk/854993/ |
Subjects: | Architecture > K100 Architecture |
School or Centre: | School of Architecture |
Identification Number or DOI: | 10.5255/UKDA-SN-854993 |
Uncontrolled Keywords: | HOUSING DESIGN; HOUSING; SIZE; GREATER LONDON |
Date Deposited: | 12 Jan 2023 17:22 |
Last Modified: | 04 Oct 2023 09:24 |
URI: | https://researchonline.rca.ac.uk/id/eprint/5251 |
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