Issue No. 12 - December (2011 vol. 44)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2011.136
Laura Ferrari , University of Modena and Reggio Emilia, Italy
Marco Mamei , University of Modena and Reggio Emilia, Italy
Researchers can use kernel density estimation to analyze spatiotemporal data from mobile devices to uncover human mobility patterns in urban spaces. Such analysis can support various applications ranging from location-based services to urban planning.
Mobility patterns, Urban and environmental planning, Social dynamics, Data mining, Mobile applications
L. Ferrari and M. Mamei, "Discovering City Dynamics through Sports Tracking Applications," in Computer, vol. 44, no. , pp. 63-68, 2011.