The document summarizes research on detecting and predicting locations of illegal oil discharges from vessels off Canada's Pacific coast. It finds spatial autocorrelation between detected oil spills and marine traffic densities of different vessel types through statistical analysis. Based on these results, it proposes using spatially autoregressive and geographically weighted regression models to predict locations of illegal oil discharges based on vessel movement patterns and surveillance efforts, in order to help transportation authorities better target their monitoring programs.