ArticlePloS one2018
Using social media to quantify spatial and temporal dynamics of nature-based recreational activities.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review.Environmental management · 2021Pooled it
- Measuring nationwide US online media mentions of fish found in the North Central Region.PloS one · 2026Article
- Occupancy of Urban Habitats by the Jersey Tiger Moth Is Revealed by Social Media Data but Not Traditional Monitoring.Ecology and evolution · 2025Article
- Article
- Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination.PloS one · 2022Article
- Article
- Using mobile phone data to examine weather impacts on recreational ecosystem services in an urban protected area.Scientific reports · 2021Article
- Demographic effects on facial emotion expression: an interdisciplinary investigation of the facial action units of happiness.Scientific reports · 2021Article
- Next-generation visitation models using social media to estimate recreation on public lands.Scientific reports · 2020Article
- The ecology of human-nature interactions.Proceedings. Biological sciences · 2020Article
- Quantifying tourism booms and the increasing footprint in the Arctic with social media data.PloS one · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Big data offer a great opportunity for nature-based recreation (NbR) mapping and evaluation. However, it is important to determine when and how it is appropriate to use this resource. We used Scotland as a case study to validate the use of data from Flickr as an indicator of NbR on a national scale and at several regional spatial and temporal resolutions. We compared Flickr photographs to visitor statistics in the Cairngorms National Park (CNP) and determined whether temporal variability in photo counts could be explained by known annual estimates of CNP visitor numbers. We then used a unique recent national survey of nature recreation in Scotland to determine whether the spatial distribution of Flickr photos could be explained by known spatial variability in nature use. Following this validation work, we used Flickr data to identify hotspots of wildlife watching in Scotland and investigated how they changed between 2005 and 2015. We found that spatial and temporal patterns in Flickr count are explained by measures of visitation obtained through surveys and that this relationship is reliable down to a 10 Km scale resolution. Our findings have implications for planning and management of NbR as they suggest that photographs uploaded on Flickr reflect patterns of NbR at spatial and temporal scales that are relevant for ecosystem management.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.