Analysis of simulated Antarctic minke surveys using the "standard" method and the "direct duplicate" method

Four new scenarios (sc33–sc36) of simulated survey data are analysed using the “standard” distance sampling method and the direct duplicate method of Palka (1995). The new scenarios were “blind” in that true simulated densities and the factors included were not revealed. Estimated densities were 0.0...

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Main Author: Branch, Trevor A
Format: Report
Language:English
Published: University of Cape Town 2006
Subjects:
Online Access:http://hdl.handle.net/11427/17300
https://open.uct.ac.za/bitstream/11427/17300/1/Branch_Analysis_simulated_.pdf
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spelling ftunivcapetownir:oai:localhost:11427/17300 2023-05-15T13:46:02+02:00 Analysis of simulated Antarctic minke surveys using the "standard" method and the "direct duplicate" method Branch, Trevor A 2006 application/pdf http://hdl.handle.net/11427/17300 https://open.uct.ac.za/bitstream/11427/17300/1/Branch_Analysis_simulated_.pdf eng eng University of Cape Town Faculty of Science Marine Resource Assessment and Management Group http://hdl.handle.net/11427/17300 https://open.uct.ac.za/bitstream/11427/17300/1/Branch_Analysis_simulated_.pdf Working Paper 2006 ftunivcapetownir 2022-09-13T05:56:55Z Four new scenarios (sc33–sc36) of simulated survey data are analysed using the “standard” distance sampling method and the direct duplicate method of Palka (1995). The new scenarios were “blind” in that true simulated densities and the factors included were not revealed. Estimated densities were 0.029, 0.021, 0.082, and 0.063 whales per km 2 for the four scenarios using the “standard” method, and 0.029, 0.020, 0.081, and 0.062 whales per km 2 for the direct duplicate method. Some negative bias in estimates is expected from the standard method due to whales on the trackline being missed by the surveys. If true, the direct duplicate method then failed to correct for this bias for these scenarios, as resulting estimates were very similar to those obtained from the “standard” method. Report Antarc* Antarctic University of Cape Town: OpenUCT Antarctic
institution Open Polar
collection University of Cape Town: OpenUCT
op_collection_id ftunivcapetownir
language English
description Four new scenarios (sc33–sc36) of simulated survey data are analysed using the “standard” distance sampling method and the direct duplicate method of Palka (1995). The new scenarios were “blind” in that true simulated densities and the factors included were not revealed. Estimated densities were 0.029, 0.021, 0.082, and 0.063 whales per km 2 for the four scenarios using the “standard” method, and 0.029, 0.020, 0.081, and 0.062 whales per km 2 for the direct duplicate method. Some negative bias in estimates is expected from the standard method due to whales on the trackline being missed by the surveys. If true, the direct duplicate method then failed to correct for this bias for these scenarios, as resulting estimates were very similar to those obtained from the “standard” method.
format Report
author Branch, Trevor A
spellingShingle Branch, Trevor A
Analysis of simulated Antarctic minke surveys using the "standard" method and the "direct duplicate" method
author_facet Branch, Trevor A
author_sort Branch, Trevor A
title Analysis of simulated Antarctic minke surveys using the "standard" method and the "direct duplicate" method
title_short Analysis of simulated Antarctic minke surveys using the "standard" method and the "direct duplicate" method
title_full Analysis of simulated Antarctic minke surveys using the "standard" method and the "direct duplicate" method
title_fullStr Analysis of simulated Antarctic minke surveys using the "standard" method and the "direct duplicate" method
title_full_unstemmed Analysis of simulated Antarctic minke surveys using the "standard" method and the "direct duplicate" method
title_sort analysis of simulated antarctic minke surveys using the "standard" method and the "direct duplicate" method
publisher University of Cape Town
publishDate 2006
url http://hdl.handle.net/11427/17300
https://open.uct.ac.za/bitstream/11427/17300/1/Branch_Analysis_simulated_.pdf
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation http://hdl.handle.net/11427/17300
https://open.uct.ac.za/bitstream/11427/17300/1/Branch_Analysis_simulated_.pdf
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