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Non-uniform coverage estimators for distance sampling.

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CREEM_technical_report_2007_1_Non-uniform coverage estimators for distance sampling.pdf (374.4Kb)
Date
2007
Author
Rexstad, Eric
Keywords
Density surface model
estimator efficiency
Horvitz-Thompson estimator
probability proportional to size (pps) estimators
Metadata
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Altmetrics Handle Statistics
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.
Citation
CREEM technical report ; 2007-01
Type
Report
Description
Previously in the University eprints HAIRST pilot service at http://eprints.st-andrews.ac.uk/archive/00000445/
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  • Centre for Research into Ecological & Environmental Modelling (CREEM) Technical report series
URI
http://hdl.handle.net/10023/628

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