Learning Behavioral Representations of Human Mobility

In this paper, we investigate the suitability of state-of-the-art representation learning methods to the analysis of behavioral similarity of moving individuals, based on CDR trajectories. The core of the contribution is a novel methodological framework, mob2vec, centered on the combined use of a recent symbolic trajectory segmentation method for the removal of noise, a novel trajectory generalization method incorporating behavioral information, and an unsupervised technique for the learning of vector representations from sequential data. Mob2vec is the result of an empirical study conducted on real CDR data through an extensive experimentation. As a result, it is shown that mob2vec generates vector representations of CDR trajectories in low dimensional spaces which preserve the similarity of the mobility behavior of individuals.Comment: ACM SIGSPATIAL 2020: 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.November 2020 Seattle, Washington, US

SECONDO database and animal tracking data: querying spatiotemporal patterns of individual space use

Key results: analysis and understanding of spatiotemporal patterns of individual movement allows to investigate the spatial relationships occurring between animals. A deep investigation of this topic is relevant both from a behavioural and wildlife management perspective: identification of contact points between animals allows to build predictive models on disease transmission patterns, that constitute an important contribution for wildlife management. The networking between the group of Animal Ecology from Fondazione Edmund Mach (Italy) and the group of Professor Güting at FernUniversity in Hagen (Germany) permitted to investigate the spatiotemporal patterns of movements of roe deer (Capreolus capreolus) by applying SECONDO database to animal relocation data collected in the database of the collaborative project Eurodeer (www.eurodeer.org). After a technical assessment of SECONDO performances on the handling and management of roe deer positional data, we used this spatiotemporal database to investigate the effect of artificial feeding sites (i.e. those sites where food is provided by wildlife managers during winter time) on roe deer spatial relationships and use of space. We found that feeding site management strongly affects the movement of individuals, that tend to gather towards these punctual resources when food is provided, while do not bias their movements towards feeding sites out of management perio