This paper proposes a system for visualizing individual and collective movement within dense geographical contexts, such as cities and urban neighborhoods. Specifically, we describe a method for creating "spatiotemporal maps" deformed according to personal movement and stasis.We implement and apply a prototype of our system to demonstrate its effectiveness in revealing patterns of spatiotemporal behavior, and in composing maps that more closely correspond to the node-oriented "mental maps" traditionally used by individuals in the act of navigation. © Springer International Publishing 2013.
CITATION STYLE
Yokoi, H., Matsumura, K., & Sumi, Y. (2013). Visualization of life patterns through deformation of maps based on users’ movement data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8210 LNCS, pp. 37–45). Springer Verlag. https://doi.org/10.1007/978-3-319-02750-0_4
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