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  4. Application of geographic information systems to the spatial distribution of illicit drug use: An analysis of the location of illicit drug seizures in a city
 
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Application of geographic information systems to the spatial distribution of illicit drug use: An analysis of the location of illicit drug seizures in a city

Journal
Taiwan Journal of Public Health
Journal Volume
35
Journal Issue
6
Pages
671-684
Date Issued
2016
Author(s)
Chang K.-L.
Tsai Y.-S.
Chan T.-C.
Su L.-W.
Chen C.-Y.
Yen C.-F.
Yu P.-J.
Hsu J.
Tsay W.-I.
WEI J. CHEN  
DOI
10.6288/TJPH201635105036
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014636819&doi=10.6288%2fTJPH201635105036&partnerID=40&md5=8b7a54baf8110e369c1b79a9f790b542
https://scholars.lib.ntu.edu.tw/handle/123456789/609528
Abstract
Objectives: To investigate the relationship between the use of Category Three or Four narcotics (illicit drugs) and geographical characteristics of the locations of seizures using the Geography Information System (GIS). Methods: Using the seizure data from a city over five years (2011-2015), we conducted a series of spatial analyses using ArcGIS software. We started with global analysis, and determined the seizure rate in different districts using visualized figures. Local analysis was then performed using two kinds of hot-spot analyses: Getis-Ord Gi∗ and kernel density analysis. Finally, the change rates in the number of seizures over the years for individual district were determined. Results: Estimates of the average number of nearest neighbors showed that the ratio Rs were all less than 1 for the five year period, indicating a strong spatial aggregation of the seizure of illicit drugs. The district-specific seizure rate showed that "high-rate areas" started with a few and then spread to others. Local analyses confirmed that some southwest districts could be designated as hot spots since their Getis-Ord Gi∗ reached statistical significance. Combining the seizure locations with street maps in Geospatial PDF helped identify street characteristics associated with the use of illicit drugs. The results of kernel density analysis also indicated that the spots with the highest densities were located within the southwest districts and their neighbors. In addition, the rates of change in the number of seizures by year differed in individual districts. Conclusions: GIS-based visual displays with hot-spot analysis provided clues to the identification of geographic characteristics associated with the seizure of illicit drugs. These may enhance location-tailored strategies to prevent the use of illicit drugs. (Taiwan J Public Health. 2016;35(6):671-684).
Publisher
Chinese Public Health Association of Taiwan
Type
journal article

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