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Published on: February 5, 2018
Understanding Australian methylamphetamine drug markets through relational, temporal and spatial analyses
Ana Popovic1, Marie Morelato1, Simon Baechler2
1Centre for Forensic Science, University of Technology Sydney, Ultimo, New South Wales, Australia.
This study uses mathematical and statistical analysis of Australian methylamphetamine seizures to reveal drug market activity. The findings provide actionable intelligence for law enforcement to disrupt illicit drug trafficking networks.
Area of Science:
- Forensic Chemistry
- Data Science
- Criminology
Background:
- Forensic case data aids in detecting links between drug seizures and understanding illicit drug markets.
- Illicit drug profiling is crucial for strategic intelligence in combating drug trafficking.
Purpose of the Study:
- To develop and implement a method for expanding the use of illicit drug profiling for strategic intelligence.
- To analyze Australian methylamphetamine seizures using mathematical and statistical techniques.
Main Methods:
- Application of comparison metrics and automated clustering analysis to link drug specimens.
- Utilizing relational, temporal, and spatial analyses to understand drug market dynamics.
- Case study approach integrating additional chemical profiling data for operational intelligence.
Main Results:
- Identification of seizure clusters central to the drug network through relational analysis.
- Insights into the emergence and extinction of seizure clusters over time via temporal analysis.
- Understanding of inter-jurisdictional drug market activities through spatial analysis.
Conclusions:
- The developed method generates strategic intelligence on the activity of the Australian methylamphetamine market.
- Identified trends and clusters provide actionable insights for law enforcement investigations.
- Multi-level intelligence supports targeted disruption of illicit drug trafficking operations.
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