|
KMID : 0380420200440040161
|
|
Journal of Prventive Veterinary Medicine
2020 Volume.44 No. 4 p.161 ~ p.168
|
|
|
Region classification based on livestock vehicle movement data by community detection method
|
|
Shin Dae-Yong
Pak Son-Il
Kwon Kyo-Hyun
Kim Dong-Hyeon
Bae Sun-Hak
|
|
|
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.
|
|
|
KEYWORD
|
|
|
Epidemic, HPAI, livestock vehicle movement data, community detection, InfoMap
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|