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On the Precision of Predicting Fishing Activities and Locations

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Abstract
  • This study compares and extends existing approaches to predict the location of fishing activities. Using data from Northeast U.S. Fisheries, we show that the traditional spatial representation of fishing activities leads to a severe misrepresentation of fishing grounds and effort. Predictions based on probability models outperform most of the simplified methods without adding substantial computational effort. This result holds both for methods based on self-reported vessel logbook and satellite-based vessel monitoring data.
  • Proceedings of the Eighteenth Biennial Conference of the International Institute of Fisheries Economics and Trade, held July 11-15, 2016 at Aberdeen Exhibition and Conference Center (AECC), Aberdeen, Scotland, UK.
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  • Challenging New Frontiers in the Global Seafood Sector: Proceedings of the Eighteenth Biennial Conference of the International Institute of Fisheries Economics and Trade, July 11-15, 2016. Compiled by Stefani J. Evers and Ann L. Shriver. International Institute of Fisheries Economics and Trade (IIFET), Corvallis, 2016.
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Urheberrechts-Erklärung
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  • 0976343290

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