Note
For access to this document, please contact Defence Research Development Canada Centre for Security Science at: css-info@drdc-rddc.gc.ca = Pour accéder au document, veuillez contacter le Centre des sciences pour la sécurité, Recherche et développement pour la défense Canada à : css-info@rddc-drdc.gc.ca .
“This is a restricted distribution and is only available to police services and other law enforcement agencies.”
"March 2008."
Author affiliated with: Justice Institute of British Columbia.
Résumé
There are numerous undetected outdoor marijuana growing sites in Southern British Columbia. Traditionally airborne surveillance has been used to detect sites on an ad hoc basis. Airborne surveillance whilst very effective when executed by trained spotters is expensive. Moreover, it requires dedicated helicopters and is constrained logistically by the vast territory involved. A recent study conducted by Titan Analysis strongly suggests that three sites are undetected for every site positively identified. The purpose of the present study was to develop a new methodology that predicts possible growing sites based on complex criteria developed from known sites. It uses a methodology called Multi-criteria Evaluation that models multiple factors and constraints in a geographic information systems (GIS) environment. In addition, we have run a Bayesian analysis as a validation technique. Bayesian analysis is a sophisticated form of artificial intelligence that is increasingly used in fields as diverse as medical diagnostics, epidemiology, ecology, and forestry.