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A non-technical overview of spatially explicit capture-recapture models

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A non-technical overview of spatially explicit capture-recapture models. / Borchers, David.

In: Journal of Ornithology, Vol. 152, No. 2, 02.2012, p. S435-S444.

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Harvard

Borchers, D 2012, 'A non-technical overview of spatially explicit capture-recapture models' Journal of Ornithology, vol. 152, no. 2, pp. S435-S444. https://doi.org/10.1007/s10336-010-0583-z

APA

Borchers, D. (2012). A non-technical overview of spatially explicit capture-recapture models. Journal of Ornithology, 152(2), S435-S444. https://doi.org/10.1007/s10336-010-0583-z

Vancouver

Borchers D. A non-technical overview of spatially explicit capture-recapture models. Journal of Ornithology. 2012 Feb;152(2):S435-S444. https://doi.org/10.1007/s10336-010-0583-z

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Borchers, David. / A non-technical overview of spatially explicit capture-recapture models. In: Journal of Ornithology. 2012 ; Vol. 152, No. 2. pp. S435-S444.

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@article{79af4ca74de7469eadd578ee395cd089,
title = "A non-technical overview of spatially explicit capture-recapture models",
abstract = "Most capture-recapture studies are inherently spatial in nature, with capture probabilities depending on the location of traps relative to animals. The spatial component of the studies has until recently, however, not been incorporated in statistical capture-recapture models. This paper reviews capture-recapture models that do include an explicit spatial component. This is done in a non-technical way, omitting much of the algebraic detail and focussing on the model formulation rather than on the estimation methods (which include inverse prediction, maximum likelihood and Bayesian methods). One can view spatially explicit capture-recapture (SECR) models as an endpoint of a series of spatial sampling models, starting with circular plot survey models and moving through conventional distance sampling models, with and without measurement errors, through mark-recapture distance sampling (MRDS) models. This paper attempts a synthesis of these models in what I hope is a style accessible to non-specialists, placing SECR models in the context of other spatial sampling models.",
keywords = "Spatially explicit capture-recapture, Spatial sampling, Measurement error, Capture function, Plot sampling, Distance sampling",
author = "David Borchers",
year = "2012",
month = "2",
doi = "10.1007/s10336-010-0583-z",
language = "English",
volume = "152",
pages = "S435--S444",
journal = "Journal of Ornithology",
issn = "2193-7192",
publisher = "Springer Nature",
number = "2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A non-technical overview of spatially explicit capture-recapture models

AU - Borchers, David

PY - 2012/2

Y1 - 2012/2

N2 - Most capture-recapture studies are inherently spatial in nature, with capture probabilities depending on the location of traps relative to animals. The spatial component of the studies has until recently, however, not been incorporated in statistical capture-recapture models. This paper reviews capture-recapture models that do include an explicit spatial component. This is done in a non-technical way, omitting much of the algebraic detail and focussing on the model formulation rather than on the estimation methods (which include inverse prediction, maximum likelihood and Bayesian methods). One can view spatially explicit capture-recapture (SECR) models as an endpoint of a series of spatial sampling models, starting with circular plot survey models and moving through conventional distance sampling models, with and without measurement errors, through mark-recapture distance sampling (MRDS) models. This paper attempts a synthesis of these models in what I hope is a style accessible to non-specialists, placing SECR models in the context of other spatial sampling models.

AB - Most capture-recapture studies are inherently spatial in nature, with capture probabilities depending on the location of traps relative to animals. The spatial component of the studies has until recently, however, not been incorporated in statistical capture-recapture models. This paper reviews capture-recapture models that do include an explicit spatial component. This is done in a non-technical way, omitting much of the algebraic detail and focussing on the model formulation rather than on the estimation methods (which include inverse prediction, maximum likelihood and Bayesian methods). One can view spatially explicit capture-recapture (SECR) models as an endpoint of a series of spatial sampling models, starting with circular plot survey models and moving through conventional distance sampling models, with and without measurement errors, through mark-recapture distance sampling (MRDS) models. This paper attempts a synthesis of these models in what I hope is a style accessible to non-specialists, placing SECR models in the context of other spatial sampling models.

KW - Spatially explicit capture-recapture

KW - Spatial sampling

KW - Measurement error

KW - Capture function

KW - Plot sampling

KW - Distance sampling

U2 - 10.1007/s10336-010-0583-z

DO - 10.1007/s10336-010-0583-z

M3 - Article

VL - 152

SP - S435-S444

JO - Journal of Ornithology

T2 - Journal of Ornithology

JF - Journal of Ornithology

SN - 2193-7192

IS - 2

ER -

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