This interactive web application has been designed to provide an easy-to-use interface for visualizing socio-ecological interactions at different scales in 16 case studies across Europe. It was developed as part of a research project funded by the ALTER-Net network through the AHIA funding instrument. In this project, we define a socio-ecological interaction as the presence of an individual in a given zone of a site during a given hour. Socio-ecological interactions have been extracted from a Flickr database containing more than 150,000 photographs taken by about 2,000 users between 2000 and 2017 in the 16 case study sites. A script (in R) showing how to get the list of public photos for a list of Flickr users is available from here. Each photograph has been manually validated and classified in order to identify different types of interactions (landscape, recreational activity, etc.). In practice, I divided every site into zones using square grid cells with a side length of 500 meters. I also identified the place of residence of every user based on their Flickr timeline using 100 x 100 km² grid cells. Flickr users have been separated into two groups (locals & visitors) according to the distance between their place of residence and the sites. At the end of the process, we obtained a multiscale socio-ecological network composed of 7,354 socio-ecological interactions from 365 distinct places of residence around the world to 3,418 grid cells located in 16 study sites.
This interactive application focuses on the visualization of several characteristics of the network at different scales: spatial interactions (global scale), spatial and temporal distributions of interactions (local scale), and the distribution of interactions according to the type of interaction (local scale).
This repository contains all the material (R scripts, Rdata, and www data folder) needed to run the app.
If you use this code, please cite the following reference:
Lenormand M et al. (2018) Multiscale socio-ecological networks in the age of information. PLOS ONE 13, e0206672.
If you need help, find a bug, want to give me advice or feedback, please contact me!
This repository is mirrored on both GitLab and GitHub. You can access it via the following links:
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