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Lecture Notes in Geoinformation and Cartography
Understanding how people move and interact within urban settings has been greatly facilitated by the expansion of personal computing and mobile studies. Geosocial data derived from social media applications have the potential to both document how large segments of urban populations move about and use space, as well as how they interact with their environments. In this paper we examine spatial and temporal clustering of individuals' geosocial messages as a way to derive personal activity centresdoi:10.1007/978-3-319-56759-4_9 fatcat:dck6iwralbazzf6zjcwvc3suya