
This study assesses the usefulness of social media for identifying public perceptions of intrinsic landscape values for landscape design and planning. We examine the ways individuals and institutions value and publicly discuss landscape perceptions and issues with an aim to inform landscape design and planning. We also assess the spatial distribution, content and sentiments of tweets. Our aim is to develop a methodology for landscape planners and architects to employ social media data to assess landscape values and perceptions in a variety of spatial and cultural contexts. These data could be used to develop design, planning, and conservation priorities, but our initial study offers clear directions for how to better capture and analyze these data for landscape design and planning
Autor / Author: | Brown, Madeline; Murtha, Timothy; Wang, Yan; Wang, Luwei |
Institution / Institution: | University of Florida, Florida/USA; University of Florida, Florida/USA; University of Florida, Florida/USA; University of Florida, Florida/USA |
Seitenzahl / Pages: | 11 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA − Journal of Digital Landscape Architecture, 4-2019 |
Tagung / Conference: | Digital Landscape Architecture 2019 – Landscape: Informed by Science, Shaped by Design |
Veranstaltungsort, -datum / Venue, Date: | Anhalt University, Dessau, Germany 22-05-19 - 25-05-19 |
Schlüsselwörter (de): | |
Keywords (en): | Landscape assessment, social media, conservation planning, crowdsourcing data, big data |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537663009 |
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