Geolocated social media data counts as a proxy for recreational visits in natural areas: A meta-analysis

This publication has 36 references indexed in Scilit:

• Public green spaces and human wellbeing: Mapping the spatial inequity and mismatching status of public green space in the Central City of Shanghai
  Urban Forestry & Urban Greening, 2017
• Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas
  Conservation Letters, 2017
• An evaluation of crowdsourced information for assessing the visitation and perceived importance of protected areas
  Applied Geography, 2017
• Measuring recreational visitation at U.S. National Parks with crowd-sourced photographs
  Journal of Environmental Management, 2016
• Analysis of intensity and spatial patterns of public use in natural treatment systems using geotagged photos from social media
  Water Research, 2016
• Modeling dependent effect sizes with three-level meta-analyses: A structural equation modeling approach.
  Psychological Methods, 2014
• Using social media to quantify nature-based tourism and recreation
  Scientific Reports, 2013
• Conducting Meta-Analyses inRwith themetaforPackage
  Journal of Statistical Software, 2010
• Quantifying heterogeneity in a meta‐analysis
  Statistics in Medicine, 2002
• Correlations redux.
  Psychological Bulletin, 1995