Modelling Imprecise Regions with Cognitive Perceptions and Georeferenced Data from the Web
Place names are commonly communicated terms between individuals used to informally agree on a location. Although individuals can agree on the general whereabouts of a place such as the ‘city centre’, the extents of these regions vary based on factors that form perception. This study aims to compare...
| Main Author: | |
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| Format: | Dissertation (University of Nottingham only) |
| Language: | English |
| Published: |
2019
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| Online Access: | https://eprints.nottingham.ac.uk/58124/ |
| _version_ | 1848799523561799680 |
|---|---|
| author | Staples, Karsten |
| author_facet | Staples, Karsten |
| author_sort | Staples, Karsten |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Place names are commonly communicated terms between individuals used to informally agree on a location. Although individuals can agree on the general whereabouts of a place such as the ‘city centre’, the extents of these regions vary based on factors that form perception. This study aims to compare perceptions of Nottingham city centre extents using responses from 52 pedestrians. These perceptions were modelled and compared to spatial extents derived from georeferenced data on the web. Various web sources portrayed contrast in their corresponding boundaries from the data based on each business plan. A detailed discussion follows the spatial data models and the focus of this research is explained. The influence of each business plan on the delineation of each boundary was investigated and identified. |
| first_indexed | 2025-11-14T20:37:01Z |
| format | Dissertation (University of Nottingham only) |
| id | nottingham-58124 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:37:01Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-581242022-12-02T16:09:24Z https://eprints.nottingham.ac.uk/58124/ Modelling Imprecise Regions with Cognitive Perceptions and Georeferenced Data from the Web Staples, Karsten Place names are commonly communicated terms between individuals used to informally agree on a location. Although individuals can agree on the general whereabouts of a place such as the ‘city centre’, the extents of these regions vary based on factors that form perception. This study aims to compare perceptions of Nottingham city centre extents using responses from 52 pedestrians. These perceptions were modelled and compared to spatial extents derived from georeferenced data on the web. Various web sources portrayed contrast in their corresponding boundaries from the data based on each business plan. A detailed discussion follows the spatial data models and the focus of this research is explained. The influence of each business plan on the delineation of each boundary was investigated and identified. 2019-12-01 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/58124/1/4341293_BUSI4129_Dissertation.pdf Staples, Karsten (2019) Modelling Imprecise Regions with Cognitive Perceptions and Georeferenced Data from the Web. [Dissertation (University of Nottingham only)] |
| spellingShingle | Staples, Karsten Modelling Imprecise Regions with Cognitive Perceptions and Georeferenced Data from the Web |
| title | Modelling Imprecise Regions with Cognitive Perceptions and Georeferenced Data from the Web |
| title_full | Modelling Imprecise Regions with Cognitive Perceptions and Georeferenced Data from the Web |
| title_fullStr | Modelling Imprecise Regions with Cognitive Perceptions and Georeferenced Data from the Web |
| title_full_unstemmed | Modelling Imprecise Regions with Cognitive Perceptions and Georeferenced Data from the Web |
| title_short | Modelling Imprecise Regions with Cognitive Perceptions and Georeferenced Data from the Web |
| title_sort | modelling imprecise regions with cognitive perceptions and georeferenced data from the web |
| url | https://eprints.nottingham.ac.uk/58124/ |