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Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/628
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CREEM_technical_report_2007_1_Non-uniform coverage estimators for distance sampling.pdf374.49 kBAdobe PDFView/Open
Title: Non-uniform coverage estimators for distance sampling.
Authors: Rexstad, Eric
Keywords: Density surface model
estimator efficiency
Horvitz-Thompson estimator
probability proportional to size (pps) estimators
Issue Date: 2007
Citation: CREEM technical report ; 2007-01
Abstract: Allocation of sampling effort in the context of distance sampling is considered. Specifically, allocation of effort in proportion to portions of the survey region that likely contain high concentrations of animals are explored. The probability of a portion of the survey region being included in the sample is proportional to the estimated number of animals in that portion. These estimated numbers of animals may be derived from a density surface model. This results in unequal coverage probability, and a Horvitz- Thompson like estimator can be used to estimate population abundance. The properties of this estimator is explored here via simulation. The benefits, measured in terms of increased precision over traditional equal coverage probability estimators, are meagre, and largely manifested when the underlying population distribution is a smooth gradient.
Version: Postprint
Description: Previously in the University eprints HAIRST pilot service at http://eprints.st-andrews.ac.uk/archive/00000445/
URI: http://hdl.handle.net/10023/628
Type: Report
Publication Status: Not published
Status: Non peer reviewed
Publisher: CREEM, University of St Andrews
Appears in Collections:Centre for Research into Ecological & Environmental Modelling (CREEM) Technical report series



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