Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning

A key challenge in contemporary ecology and conservation is the accurate tracking of the spatial distribution of various human impacts, such as fishing. While coastal fisheries in national waters are closely monitored in some countries, existing maps of fishing effort elsewhere are fraught with unce...

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Vydáno v:	PloS one Ročník 11; číslo 7; s. e0158248
Hlavní autoři:	de Souza, Erico N., Boerder, Kristina, Matwin, Stan, Worm, Boris
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 01.07.2016 Public Library of Science (PLoS)
Témata:	Algorithms Analysis Animals Aquatic sciences Artificial intelligence Biology and Life Sciences Chionoecetes opilio Coastal fisheries Coastal waters Computer and Information Sciences Computer science Conservation Data analysis Data mining Data Mining - methods Data processing Earth Sciences Ecology Ecology and Environmental Sciences Environmental protection Filtration Fisheries Fisheries - statistics & numerical data Fisheries management Fishery management Fishing Fishing equipment Fishing gear Fishing tackle Fishing vessels Ground stations Human influences Identification systems Information systems International conferences Learning algorithms Machine Learning Markov chains Methods Monte Carlo simulation Multilayers Oceans Pattern Recognition, Automated - methods Physical sciences Protection and preservation Research and Analysis Methods Satellite communications Seiners Signal processing Spacecraft Spatial distribution Temporal distribution Trawlers Poland Canada
ISSN:	1932-6203, 1932-6203
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