Visualization and Spatio-temporal Analysis of Log Data Using STP (STP(Space Time Path)를 이용한 로그데이터시각화 및 특징 분석)

Cho， Nahye (조나혜); Youngok Kang (강영옥)

doi:10.16879/jkca.2018.18.1.093

Visualization and Spatio-temporal Analysis of Log Data Using STP

Journal of the Korean Cartographic Association
Abbr : JKCA
2018, 18(1), pp.93-102
DOI : 10.16879/jkca.2018.18.1.093
Publisher : The Korean Cartographic Association
Research Area : Social Science > Geography > Geography in general > Cartography
Published : April 30, 2018

Cho， Nahye ¹, Youngok Kang ²

¹이화여자대학교 사회교육과
²이화여자대학교

Accredited

ABSTRACT

The purpose of this study is to identify the movement characteristics of students in field experience learning by visualizing the log data collected from field experience learning using mobile devices as STP technique and to analyze the characteristics of activity at the point of retention. As a result of analysis of log data, the patterns of movement and retention were consecutively appeared, and it was confirmed that the place and time were different depending on the type of inquiry activity, and the place where the retention appeared was not only the inquiry point but also the non-inquiry point. In the case of field experience learning, it is necessary to carry out further analysis on the activity at the retention point since it is performed within a limited space and time. It was confirmed that the visualization of the movement log using STP can be used as a basic data for exploring log data having a complicated structure and it can be applied to various types of log data analysis.

KEYWORDS

Space-time Path, Spatio-temporal visualization, Log data, Analysis of movement

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal Central

Journal of the Korean Cartographic Association 2023 KCI Impact Factor : 1.34

Visualization and Spatio-temporal Analysis of Log Data Using STP

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Cartographic Association 2023 KCI Impact Factor : 1.34

Visualization and Spatio-temporal Analysis of Log Data Using STP

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.