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A Study on the Space-time Path Analysis of COVID-19 Patients through Geovisualization of Spatiotemporal Data

  • Journal of the Korean Cartographic Association
  • Abbr : JKCA
  • 2020, 20(3), pp.13-22
  • Publisher : The Korean Cartographic Association
  • Research Area : Social Science > Geography > Geography in general > Cartography
  • Received : November 21, 2020
  • Accepted : December 3, 2020
  • Published : December 31, 2020

Jae-Seong Ahn 1 Choi Jinmu ORD ID 2 LEESANGWON 2 Jung Soo Ham 3

1경일대학교
2경희대학교
3경희대학교 지리학과

Accredited

ABSTRACT

Contact with the patient is an important transmission route for the transmission of infectious diseases, so an individual level information of activity can be used as an important index to determine risks of infection. The purpose of this study is to propose a method to understand the migration characteristics of COVID-19(Coronavirus Disease 2019) patients by using personal movement. To this end, a geovisualization prototype environment has been developed with the concept of time geography in order to analyze data on the movement route of corona patients in Seoul. In the geovisualization prototype, a three-dimensional path is used to visualize the visited places of COVID-19 patients by time period. In addition, visit time and stay time by place of visit are expressed in a cylinder reflecting the concept of the station so that it is possible to determine whether or not the visiting places are overlapped by the patients. The visualization method proposed in this study has the following advantages. First, it is possible to analyze the spatiotemporal movement characteristics by simultaneously visualizing the spatiotemporal ranges and characteristics of the movement of COVID-19 patients. Second, it is possible to identify the shared location of the infected patients through visualization of the station along the path of their movement.

Citation status

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