Continental-scale quantification of landscape values using social media data.

Area of Science:

• Environmental Social Science
• Geospatial Analysis
• Digital Geography

Background:

• Societies value landscapes for aesthetic, cultural, and recreational benefits.
• Urbanization and land-use changes threaten landscape integrity and human-place connections.
• Traditional methods for assessing landscape values are limited in scale and dynamism.

Purpose of the Study:

• To evaluate the utility of social media platforms (Panoramio, Flickr, Instagram) for quantifying landscape values.
• To assess landscape values at a continental scale using social media data.
• To identify factors influencing the spatial distribution of landscape values.

Main Methods:

• Analysis of geotagged photos and associated metadata from Panoramio, Flickr, and Instagram across Europe.
• Statistical modeling to correlate social media-derived landscape values with geographic and socio-economic variables.
• Comparison of landscape value patterns across different social media platforms.

Main Results:

• Social media data successfully quantifies landscape values at a continental scale.
• Instagram data proved particularly useful due to user engagement and commenting features.
• Similar landscape value patterns emerged across platforms, influenced by accessibility, population density, income, terrain, and proximity to water.

Conclusions:

• Social media platforms offer a powerful, scalable tool for understanding landscape values.
• These digital data extend traditional methods, providing insights across diverse boundaries.
• Understanding landscape values through social media can inform conservation and land management strategies.