Mapping landscape values with social media

Madeline Brown, Timothy Murtha, Luwei Wang, Yan Wang

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


This paper investigates public landscape values and perceptions in the Eastern United States using crowdsourced data from Twitter. Tweets contain information about how people use, value, and think about their environments. We collected two months of tweets (December 2018 and January 2019) using a keyword list focused on conservation and environment terms. These data are analyzed across four contexts based on location (Global, US national capital region, and Orlando, Florida) or keywords (National Parks). We find that Twitter data enables time-sensitive landscape perceptions over a large spatial extent that may be of interest to landscape planners. In addition, we compare landscape assess-ments across multiple contexts and examine landscape values in culturally relevant places, such as parks, scenic vistas, and waterways. Finally, we discuss future methodological and theoretical direc-tions for landscape architects and planners interested in incorporating social media into research and design processes.

Original languageEnglish (US)
Pages (from-to)542-548
Number of pages7
JournalJournal of Digital Landscape Architecture
Issue number5
StatePublished - 2020

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Architecture
  • Computer Science Applications
  • Nature and Landscape Conservation


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