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Defense, Narcotics, Geo database, Geo statistics
Dechsiri, Benjamart; Robert, Ornprapa P.
The problem of narcotic smuggling in Thailand has become a key issue nationwide which is defined in the master plan of country. Thailand border has been used not only to transport and transit mainly heroin and marijuana prior to final destination, but also to terminate amphetamine. Not surprisingly, the Office of Narcotics Control Board, Thailand reported that there are 1.2 million addicts. The northern border is discovered as the most critical area of drug trafficking since it is close to manufacturer together with topography conducive to smuggling. Therefore, this research aims to study geo-spatial related narcotic trafficking. Retrieval and relevant data of smugglers arrested were collected from 2010-2015 through local news media and implemented in geo-database format. Geo-statistics analysis of Moran I's autocorrelation and Hot Spots (Getis-Ord Gi*) was applied to investigate geo-spatial related drug smuggling. The results of Moran I's autocorrelation show that narcotic trafficking pattern is formed randomly as Moran’s Index value of 0.0663 that showed in z-score and p-value are 0.7983 and 0.4247 respectively where the most of hotspots are occurred at sub-districts across neighboring country. Lastly, operational maps will be visualized along with physical aspects including transportation routes and land use in order to be deployed in enhancing military and defense decision making.
Full text: Ab 0136.pdf [Bibtex]
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