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Visualization of Life Patterns through Deformation of Maps Based on Users’ Movement Data

  • Hayato Yokoi
  • Kohei Matsumura
  • Yasuyuki Sumi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8210)

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.

Keywords

Movement Data Image Deformation Urban Neighborhood Stay Time Spatial Mesh 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Hayato Yokoi
    • 1
  • Kohei Matsumura
    • 1
  • Yasuyuki Sumi
    • 1
  1. 1.Future University HakodateHakodateJapan

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