Journal of Digital Landscape Architecture

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Iterative Digital Photo-based Assessment for Rural Landscape Perception: A Small Experiment from County Wicklow, Ireland

Photography – a simulation of the landscape – is often used to assess visual qualities of landscapes, silently implying there is consensus around what remains the best representation of a given landscape. In this study we examine if such a consensus in visually experiencing a landscape truly exists and what the main differences in visual perceptions of landscape are. To gather participant’s visual experiences, a participant generated image (PGI) method was used. Each participant took a photo, which he/she believed best represented the surrounding landscape and provided reasoning for their choice. With a combination of qualitative and quantitative analysis three distinct perceptions were found. Each places different emphasis on land uses, locality and the concept of nature. The study shows the plurality of visual experiences of a landscape, suggesting caution when using surrogates for representing a landscape and offers alternative possible applications of the PGI method for evoking and understanding people’s views of landscape.

Autor / Author: Bevk, Tadej; Mestre Martinez, Nieves; Brereton, Patrick; Lalošević, Marija; Perič
Institution / Institution: University of Ljubljana, Ljubljana, Slovenia; Escuela de Arquitectura, Ingeniería y Diseño, Madrid, Spain; Dublin City University, Dublin, Ireland; Urban Planning Institute of Belgrade, Belgrade, Serbia; University of Belgrade, Belgrade, Serbia
Seitenzahl / Pages: 10
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA − Journal of Digital Landscape Architecture, 2-2017
Tagung / Conference: Digital Landscape Architecture 2017 – Responsive Landscapes
Veranstaltungsort, -datum / Venue, Date: Bernburg, Germany 07-06-17 - 10-06-17
Schlüsselwörter (de):
Keywords (en): Participant generated image, visual landscape assessment, photographic simulation, landscape perception, landscape experience
Paper review type: Full Paper Review
DOI: doi:10.14627/537629003
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