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On the Precision of Predicting Fishing Activities and Locations Public Deposited

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Suggested Bibliographic Reference: 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.

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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  • 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.
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  • description.provenance : Made available in DSpace on 2017-03-09T21:28:20Z (GMT). No. of bitstreams: 1 Muench203ppt.pdf: 1084837 bytes, checksum: a4eea7a4fce141befd29631c2fee97de (MD5)
  • description.provenance : Submitted by IIFET Student Assistant (iifetstudentassistant@gmail.com) on 2017-03-09T21:28:20Z No. of bitstreams: 1 Muench203ppt.pdf: 1084837 bytes, checksum: a4eea7a4fce141befd29631c2fee97de (MD5)
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  • 0976343290

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