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Abstract: Geotagged photos posted on photo-sharing platforms have recently become a new source of information for analysing landscape preferences and investigating the aesthetic dimension of cultural ecosystem services. Most studies seek to explain photo density by landscape or spatial characteristics that might account for individual preferences and aesthetic criteria favoured by photographers. We focus instead on a “panorama level” of analysis, based on the assumption that photos represent preferential directions within a given panorama. The analysis consists in comparing the content of the photographed views with the content of the antipodal views (i.e. the view at 180°). We apply this method to a set of Flickr photos taken in the Lake Geneva region (Switzerland and France) characterised by landscape descriptors based on a visibility modelling approach.
Jean-Christophe Foltête, Jens Ingensand, Nicolas Blanc,
Coupling crowd-sourced imagery and visibility modelling to identify landscape preferences at the panorama level,
Landscape and Urban Planning,Volume 197,2020 https://doi.org/10.1016/j.landurbplan.2020.103756