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Using hidden Markov models to deal with availability bias on line transect surveys

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Using hidden Markov models to deal with availability bias on line transect surveys. / Borchers, David Louis; Zucchini, Walter; Heide-Jørgensen, M.P.; Cañadas, A.; Langrock, Roland.

In: Biometrics, Vol. 69, No. 3, 2013, p. 703-713.

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Borchers, DL, Zucchini, W, Heide-Jørgensen, MP, Cañadas, A & Langrock, R 2013, 'Using hidden Markov models to deal with availability bias on line transect surveys' Biometrics, vol. 69, no. 3, pp. 703-713. https://doi.org/10.1111/biom.12049

APA

Borchers, D. L., Zucchini, W., Heide-Jørgensen, M. P., Cañadas, A., & Langrock, R. (2013). Using hidden Markov models to deal with availability bias on line transect surveys. Biometrics, 69(3), 703-713. https://doi.org/10.1111/biom.12049

Vancouver

Borchers DL, Zucchini W, Heide-Jørgensen MP, Cañadas A, Langrock R. Using hidden Markov models to deal with availability bias on line transect surveys. Biometrics. 2013;69(3):703-713. https://doi.org/10.1111/biom.12049

Author

Borchers, David Louis ; Zucchini, Walter ; Heide-Jørgensen, M.P. ; Cañadas, A. ; Langrock, Roland. / Using hidden Markov models to deal with availability bias on line transect surveys. In: Biometrics. 2013 ; Vol. 69, No. 3. pp. 703-713.

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@article{d40d7c28c5284e299a67454d85d021ee,
title = "Using hidden Markov models to deal with availability bias on line transect surveys",
abstract = "We develop estimators for line transect surveys of animals that are stochastically unavailable for detection while within detection range. The detection process is formulated as a hidden Markov model with a binary state-dependent observation model that depends on both perpendicular and forward distances. This provides a parametric method of dealing with availability bias when estimates of availability process parameters are available even if series of availability events themselves are not. We apply the estimators to an aerial and a shipboard survey of whales, and investigate their properties by simulation. They are shown to be more general and more flexible than existing estimators based on parametric models of the availability process. We also find that methods using availability correction factors can be very biased when surveys are not close to being instantaneous, as can estimators that assume temporal independence in availability when there is temporal dependence.",
keywords = "Availability bias, Detection hazard, Hidden Markov model, Line transect, Wildlife survey",
author = "Borchers, {David Louis} and Walter Zucchini and M.P. Heide-J{\o}rgensen and A. Ca{\~n}adas and Roland Langrock",
note = "This work was supported by EPSRC grant EP/I000917/1",
year = "2013",
doi = "10.1111/biom.12049",
language = "English",
volume = "69",
pages = "703--713",
journal = "Biometrics",
issn = "0006-341X",
publisher = "Wiley",
number = "3",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Using hidden Markov models to deal with availability bias on line transect surveys

AU - Borchers, David Louis

AU - Zucchini, Walter

AU - Heide-Jørgensen, M.P.

AU - Cañadas, A.

AU - Langrock, Roland

N1 - This work was supported by EPSRC grant EP/I000917/1

PY - 2013

Y1 - 2013

N2 - We develop estimators for line transect surveys of animals that are stochastically unavailable for detection while within detection range. The detection process is formulated as a hidden Markov model with a binary state-dependent observation model that depends on both perpendicular and forward distances. This provides a parametric method of dealing with availability bias when estimates of availability process parameters are available even if series of availability events themselves are not. We apply the estimators to an aerial and a shipboard survey of whales, and investigate their properties by simulation. They are shown to be more general and more flexible than existing estimators based on parametric models of the availability process. We also find that methods using availability correction factors can be very biased when surveys are not close to being instantaneous, as can estimators that assume temporal independence in availability when there is temporal dependence.

AB - We develop estimators for line transect surveys of animals that are stochastically unavailable for detection while within detection range. The detection process is formulated as a hidden Markov model with a binary state-dependent observation model that depends on both perpendicular and forward distances. This provides a parametric method of dealing with availability bias when estimates of availability process parameters are available even if series of availability events themselves are not. We apply the estimators to an aerial and a shipboard survey of whales, and investigate their properties by simulation. They are shown to be more general and more flexible than existing estimators based on parametric models of the availability process. We also find that methods using availability correction factors can be very biased when surveys are not close to being instantaneous, as can estimators that assume temporal independence in availability when there is temporal dependence.

KW - Availability bias

KW - Detection hazard

KW - Hidden Markov model

KW - Line transect

KW - Wildlife survey

U2 - 10.1111/biom.12049

DO - 10.1111/biom.12049

M3 - Article

VL - 69

SP - 703

EP - 713

JO - Biometrics

T2 - Biometrics

JF - Biometrics

SN - 0006-341X

IS - 3

ER -

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ID: 26425234