Investigating behavioural and computational approaches for defining imprecise regions

Twaroch, Florian A.; Brindley, Paul; Clough, Paul D.; Jones, Christopher B.; Pasley, Robert C.; Mansbridge, Sue

Abstract

People often communicate with reference to informally agreed places, such as ‘the city centre’. However, views of the spatial extent of such areas may vary and result in imprecise regions. We compare perceptions of Sheffield’s City Centre from a street survey (with 61 participants) to spatial extents derived from various web-based sources. Such automated approaches have advantages of speed, cost and repeatability. Our results show that footprints derived from web sources are often in concordance with models derived from more labourintensive methods. There were, however, differences between some of the data sources, with those advertising/selling residential property diverging the most from the street survey data. Agreement between sources was measured by aggregating the web sources to identify locations of consensus

Citation

Twaroch, F. A., Brindley, P., Clough, P. D., Jones, C. B., Pasley, R. C., & Mansbridge, S. (2019). Investigating behavioural and computational approaches for defining imprecise regions. Spatial Cognition and Computation, 19(2), 146-171. https://doi.org/10.1080/13875868.2018.1531871

• Journal Article Type: Article
• Acceptance Date: Oct 2, 2018
• Online Publication Date: Nov 28, 2018
• Publication Date: Apr 3, 2019
• Deposit Date: Oct 22, 2018
• Publicly Available Date: Nov 29, 2019
• Journal: Spatial Cognition & Computation
• Print ISSN: 1387-5868
• Electronic ISSN: 1542-7633
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• Volume: 19
• Issue: 2
• Pages: 146-171
• DOI: https://doi.org/10.1080/13875868.2018.1531871
• Keywords: geographic information retrieval, place, spatial cognition, social media, vague geography, earth-surface processes, modelling and simulation, experimental and cognitive psychology, computer vision and pattern recognition, computer graphics and computer-ai
• Public URL: https://nottingham-repository.worktribe.com/output/1179139
• Publisher URL: https://www.tandfonline.com/doi/full/10.1080/13875868.2018.1531871
• Additional Information: Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=hscc20; Published: 2018-11-28