English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The exploitation of high volume of geolocalized data from social sporttracking applications of outdoor activities can be useful for natural resourceplanning and to understand the human mobility patterns during leisureactivities. This geolocalized data represents the selection of hike activitiesaccording to subjective and objective factors such as personal goals, personalabilities, trail conditions or weather conditions. In our approach, humanmobility patterns are analysed from trajectories which are generated by hikers.We propose the generation of the trail network identifying special points inthe overlap of trajectories. Trail crossings and trailheads define our networkand shape topological features. We analyse the trail network of BalearicIslands, as a case of study, using complex weighted network theory. Theanalysis is divided into the four seasons of the year to observe the impact ofweather conditions on the network topology. The number of visited places doesnot decrease despite the large difference in the number of samples of the twoseasons with larger and lower activity. It is in summer season where it isproduced the most significant variation in the frequency and localization ofactivities from inland regions to coastal areas. Finally, we compare our modelwith other related studies where the network possesses a different purpose. Onefinding of our approach is the detection of regions with relevant importancewhere landscape interventions can be applied in function of the communities.

Analysing Human Mobility Patterns of Hiking Activities through Complex Network Theory