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The insight gained from the predictive model is then combined with other data sources, such as fisheries management areas and license conditions to detect non-compliance with fisheries regulations.
 
The insight gained from the predictive model is then combined with other data sources, such as fisheries management areas and license conditions to detect non-compliance with fisheries regulations.
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[[File:IUU Non compliance example.png|center|frameless|757x757px]]The functionality of the predictive model is complemetend by developing another predictive model to find spatial hot spots of fishing activities.
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[[File:IUU Non compliance example.png|center|frameless|757x757px]]The functionality of the predictive model is complemetend by developing another predictive model to find spatial hot spots of fishing activities. For example, a heat map of highly active fishing areas across all Quebec region fisheries is shown below.
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[[File:Hotspot.png|center|frameless|536x536px]]
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The insights gained from both models can '''give Canadian fishery officers a bird’s eye view over what is happening on the water leading to more effective management of enforcement efforts.'''
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At the end, the insights gained from both models can '''give Canadian fishery officers a bird’s eye view over what is happening on the water leading to more effective management of enforcement efforts.'''
    
== References ==
 
== References ==