|Appears in Collections:||Biological and Environmental Sciences Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Mapping the visual magnitude of popular tourist sites in Edinburgh city|
|Citation:||Bartie P & Mackaness W (2016) Mapping the visual magnitude of popular tourist sites in Edinburgh city. Journal of Maps, 12 (2), pp. 203-210. https://doi.org/10.1080/17445647.2014.1001453|
|Abstract:||There is value in being able to automatically measure and visualise the visual magnitude of city sites (monuments and buildings, tourist sites) – for example in urban planning, as an aid to automated way finding, or in augmented reality city guides. Here we present the outputs of an algorithm able to calculate visual magnitude – both as an absolute measure of the façade area, and in terms of a building’s perceived magnitude (its lesser importance with distance). Both metrics influence the photogenic nature of a site. We therefore compared against maps showing the locations from where geo-located FlickR images were taken. The results accord with the metrics and therefore help disambiguate the meaning of FlickR tags.|
|Rights:||This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of Maps on 15 January 2015, available online: http://www.tandfonline.com/10.1080/17445647.2014.1001453|
|Main Map.pdf||Fulltext - Accepted Version||16.07 MB||Adobe PDF||View/Open|
|Visual Magnitude of Edinburgh City Objects.pdf||Fulltext - Accepted Version||2.88 MB||Adobe PDF||View/Open|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.