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ILAS: Intrinsic Landscape Assessment System for Landscape Design and Planning in the National Capital Region

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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