Mapping the intangible: using geolocated social media data to examine landscape aesthetics

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• dc.contributor.author Langemeyer, Johannes
• dc.contributor.author Calcagni, Fulvia
• dc.contributor.author Baró Porras, Francesc
• dc.date.accessioned 2020-05-06T07:07:42Z
• dc.date.available 2020-05-06T07:07:42Z
• dc.date.issued 2018
• dc.description.abstract The ecosystem services concept is increasingly gaining momentum in land-use policies and landscape planning. Yet, cultural ecosystem services often lack proper assessments. With this study, we use novel methodological approaches to map the cultural ecosystem service landscape aesthetics for its enhanced consideration in land-use policies. Our study uses expert-based participatory mapping and crowd-sourced (social media) photo data to examine the spatial distribution of landscape aesthetics in the Province of Barcelona, Catalonia. We distinguish the capacity and flow of landscape aesthetics. Landscape aesthetics capacity was assessed through spatial multi-criteria evaluation, consisting of a viewshed analysis and an expert-based selection and weighting of landscape features. Landscape aesthetics flow, i.e., people’s actual appreciation of landscape aesthetics, was assessed by analysing a sample of 13,460 geolocated photographs from the social media platform Flickr. Our results uncover a substantial mismatch between landscape aesthetics capacity and flow. While landscape aesthetics capacity is widely distributed across the case study area, landscape aesthetics flow is (with few exceptions) mostly concentrated in urban and periurban areas. The main insights for land-use policies derived from our results are twofold. On one hand, landscape aesthetics flow seems less dependent on ‘pristine nature’ than experts and planners assume, while the complex integration of green and grey landscape features plays a critical role. On the other hand, urban and periurban landscapes as key landscape aesthetics providers should receive additional attention in land-use policies.
• dc.description.sponsorship We would like to thank two unknown reviewers for their helpful remarks. We also thank S. Abele as developer of the app for down-loading and classifying the photos, P. Roebeling and A. Smith for pro-viding advice, and the Diputació de Barcelona and the Observatori del Paisatge for supporting this study. Thanks to D. Wedgwood for proofs and edits. Author(s) acknowledge financial support from the Spanish Ministry of Economy and Competitiveness through the 2015-2016 BiodivERsA COFUND project ENABLE (code: PCIN-2016-002) andthrough the“María de Maeztu”program for Units of Excellence (MDM-2015-0552); from the European Commission’s Seventh Framework Programme (FP7/2007-2013) through the OpenNESS project (grant agreement no 308428); and from the Diputació de Barcelona through an agreement of collaboration (2017). F.C. acknowledges support by the European Commission through an Erasmus Mundus scholarship (JEMES CiSu AAU 2014/No. 4).
• dc.format.mimetype application/pdf
• dc.identifier.citation Langemeyer J, Calcagni F, Baró Porras, F. Mapping the intangible: using geolocated social media data to examine landscape aesthetics. Land Use Policy. 2018 Sep; 77: 542-52. DOI: 10.1016/j.landusepol.2018.05.049
• dc.identifier.doi http://dx.doi.org/10.1016/j.landusepol.2018.05.049
• dc.identifier.issn 0264-8377
• dc.identifier.uri http://hdl.handle.net/10230/44419
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof Land Use Policy. 2018 Sep;77:542-52
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/308428
• dc.rights This article is available under the Creative Commons CC-BY-NC-ND https://creativecommons.org/licenses/by-nc-nd/4.0/, license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
• dc.subject.keyword Cultural ecosystem services
• dc.subject.keyword Mapping ecosystem service
• dc.subject.keyword Landscape aesthetics
• dc.subject.keyword Social values
• dc.subject.keyword Social media data
• dc.subject.keyword Photoseries analysis
• dc.title Mapping the intangible: using geolocated social media data to examine landscape aesthetics
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion