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ISSN : 2287-7991(Print)
ISSN : 2287-8009(Online)
Journal of the Preventive Veterinary Medicine Vol.44 No.4 pp.161-168
DOI : https://doi.org/10.13041/jpvm.2020.44.4.161

Region classification based on livestock vehicle movement data by community detection method

Dae-Yong Shin,Son-Il Pak,Kyohyun Kwon,Dong-Hyeon Kim,Sunhak Bae
Kangwon National University-Industry Cooperation Foundation;College of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University;Farmshield Co. Ltd;Department of Smart Regional Innovation, Kangwon National University;Department of Geography Education, Kangwon National University

Abstract

The purpose of this study is to obtain data on the zones formed by the movement of livestock vehicles and to determine if such areas can be used to establish quarantine activities and quarantine policies for livestock epidemics. For this purpose, this study used mobile data on poultry-related livestock vehicles generated in 2019. InfoMap, a community detection method, was used for regional classification, and the results of the analysis were visualized on a map using GIS. The study results confirmed that the zone of the administrative unit can be classified based on the movement of livestock vehicles. In addition, the zones created by the vehicle movement could be seen to change depending on the purpose and timing of the operation of livestock vehicles. Some areas form relatively stable zones, such as Jeolla-do and Gyeongsang-do, while others change depending on the situation, such as Chungcheong-do, Gyeonggi-do, and Gangwon-do. Further, the zones derived for poultry differed from those derived for cattle and pigs in previous studies.

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