University of Otago / EWHALE laboratory / Institute of Arctic Biology / Wildlife Department University of Alaska-Fairbanks / /
IndustryTerm
chronic oil spills / tree-based machine learning algorithm / fuel/oil / nonlinear algorithms / oil spill risk / adequate accounting system / oil and gas / oil / randomForest algorithm / informative communications / massive online data sets / i.e. oil spill contingencies / random forest algorithm / oil rigs / oil spills / oil and gas exploration / gas and oil exploration / statistical algorithms / mining / large oil spill / e.g. oil spills / /
NaturalFeature
Norwegian Sea / Faroe island / Bering Strait / Region Arctic Ocean Barents Sea Beaufort Sea Chukchi Sea Davis Strait / Baffin Bay / Yukon River / Greenland island / Laptev sea / Bay of Biscay Shearwaters / Iceland island / Barents Sea / Sea Norwegian / Greenland Sea / Chukchi Sea / United States island / Eastern Barents Sea / Ross Sea / Russia island / Wrangell Island / Davis Strait / Pacific Ocean / Norway island / Kara sea / Davis Strait/Baffin Bay / Bering Strait/Chuchki Sea / Canadian archipelago / Arctic Ocean / /
Organization
Cambridge University / Institute of Arctic Biology / Department of Zoology / University of Alaska / University of Otago / International Union for Conservation of Nature / Federal Geographic Data Committee / The Netherlands Environmental Assessment Agency / /
Person
Poor / Bern Conv / Grant R. W. Humphries / /
Position
Distribution Distribution Distribution DMS link Distribution Distribution oil spill risk Distribution Energy model Distribution Temporal variation Application First / Model for rare species Combines / Location Species Author / coastal model / Hunter / /
Product
Arctic / /
ProvinceOrState
Alaska / South Dakota / /
Region
Antarctic / Eastern US / North Atlantic / Northern Norway / Northern Iceland / /
Technology
random forest algorithm / tree-based machine learning algorithm / randomForest algorithm / http / predicted using the randomForest algorithm / /