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.
15. Results: Spatial autocorrelation – Global indices 0.871 (0.01) 0.158 (0.01) Oil spills counts 0.455 (0.01) 0.518 (0.01) Cruise ship movement counts 0.371 (0.01) 0.553 (0.01) Tug vessel movement counts 0.395 (0.01) 0.553 (0.01) Carrier vessel movement counts 0.369 (0.01) 0.589 (0.01) Oil tankers movement counts 0.249 (0.01) 0.783 (0.01) Fishing vessel movement counts 0.172 (0.01) 0.805 (0.01) NASP flight counts Geary's c ( p -values) Moran's I ( p -values)
16. Results (Cont.): Spatial pattern description - LISA Cluster Maps LISA cluster map of surveillance flight counts. Significance test using 999 permutations and applying a significance filter of p ≤ 0.01.
17. Results (Cont.): Spatial pattern description - LISA Cluster Maps LISA cluster map of detected oil spills counts. Significance test using 999 permutations and applying a significance filter of p ≤ 0.01.
18. Results (Cont.): Spatial pattern description - LISA Cluster Maps LISA cluster map of carrier vessel movement counts. Significance test using 999 permutations and applying a significance filter of p ≤ 0.01.
19. Results (Cont.): Spatial pattern description - LISA Cluster Maps LISA cluster map of oil tanker movement counts. Significance test using 999 permutations and applying a significance filter of p ≤ 0.01.
20. Results (Cont.): Spatial pattern description - LISA Cluster Maps LISA cluster map of tug vessel movement counts. Significance test using 999 permutations and applying a significance filter of p ≤ 0.01.
21. Results (Cont.): Spatial pattern description - LISA Cluster Maps LISA cluster map of fishing vessel movement counts. Significance test using 999 permutations and applying a significance filter of p ≤ 0.01.
22. Results (Cont.): Spatial pattern description - LISA Cluster Maps LISA cluster map of cruise ships movement counts. Significance test using 999 permutations and applying a significance filter of p ≤ 0.01.
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27. Thank you for your attention Any questions? Acknowledgements: