Multi-scale framework for attraction place identification across human and animal mobility

A large volume of research has been devoted to the concept of mobility, a theme that is transversal to multiple fields of study and applications, from biology and ecology, to computer science and economy. Despite the considerable efforts made by a few scientific communities and the relevant results obtained so far, only very recently the issue of adopting a unifying and comprehensive approach across has been faced. In this paper, we present an overview of the quantitative framework we have recently developed to analyse and model human mobility, based on symbolic trajectories built on CDR data (Call Detail Record) provided by a telco operator [5]. Driven by a location-centric perspective, the framework includes a novel trajectory summarization technique for the extraction of the locations of interest from symbolic trajectories, a relevance analysis providing a novel location taxonomy and, inspired by ecological studies, a diversity analysis to characterize the movement through a location diversity profile. The ultimate goal of this contribution is to stress the need of a methodological integration between human and animal mobility analytical methods.