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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


Florian A. Twaroch

Paul Brindley

Paul D. Clough

Christopher B. Jones

Assistant Professor in Information Syste

Sue Mansbridge


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

Journal Article Type Article
Publication Date Nov 28, 2018
Print ISSN 1387-5868
Publisher Taylor & Francis Open
Peer Reviewed Peer Reviewed
APA6 Citation Twaroch, F. A., Brindley, P., Clough, P. D., Jones, C. B., Pasley, R. C., & Mansbridge, S. (2018). Investigating behavioural and computational approaches for defining imprecise regions. Spatial Cognition and Computation,
Keywords geographic information retrieval, place, spatial cognition, social media, vague geography
Publisher URL
Additional Information This is an Accepted Manuscript of an article published by Taylor & Francis in Spatial Cognition and Computation on 28 November 2018, available online: http://www.tandfonline....0/13875868.2018.1531871


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