Abstract
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.
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Yokoi, H., Matsumura, K., Sumi, Y. (2013). Visualization of Life Patterns through Deformation of Maps Based on Users’ Movement Data. In: Yoshida, T., Kou, G., Skowron, A., Cao, J., Hacid, H., Zhong, N. (eds) Active Media Technology. AMT 2013. Lecture Notes in Computer Science, vol 8210. Springer, Cham. https://doi.org/10.1007/978-3-319-02750-0_4
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DOI: https://doi.org/10.1007/978-3-319-02750-0_4
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02749-4
Online ISBN: 978-3-319-02750-0
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