Accounting for matching uncertainty in two stage capture-recapture experiments using photographic measurements of natural marks

We propose a Bayesian hierarchical modeling approach for estimating the size of a closed population from data obtained by identifying individuals through photographs of natural markings. We assume that noisy measurements of a set of distinctive features are available for each individual present in a...

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Published in:Environmental and Ecological Statistics
Main Authors: TANCREDI, ANDREA, Marie Auger Methe, Marianne Marcoux, LISEO, Brunero
Other Authors: Tancredi, Andrea, Marie Auger, Methe, Marianne, Marcoux, Liseo, Brunero
Format: Article in Journal/Newspaper
Language:English
Published: SPRINGER 2013
Subjects:
Online Access:http://hdl.handle.net/11573/508254
https://doi.org/10.1007/s10651-013-0239-2
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spelling ftunivromairis:oai:iris.uniroma1.it:11573/508254 2024-04-21T08:07:02+00:00 Accounting for matching uncertainty in two stage capture-recapture experiments using photographic measurements of natural marks TANCREDI, ANDREA Marie Auger Methe Marianne Marcoux LISEO, Brunero Tancredi, Andrea Marie Auger, Methe Marianne, Marcoux Liseo, Brunero 2013 STAMPA http://hdl.handle.net/11573/508254 https://doi.org/10.1007/s10651-013-0239-2 eng eng SPRINGER info:eu-repo/semantics/altIdentifier/wos/WOS:000327086000008 volume:20 issue:4 firstpage:647 lastpage:665 numberofpages:19 journal:ENVIRONMENTAL AND ECOLOGICAL STATISTICS http://hdl.handle.net/11573/508254 doi:10.1007/s10651-013-0239-2 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84888063640 info:eu-repo/semantics/restrictedAccess closed population photo-identification monodon monocero population size estimation multivariate normal record linkage info:eu-repo/semantics/article 2013 ftunivromairis https://doi.org/10.1007/s10651-013-0239-2 2024-03-28T01:53:45Z We propose a Bayesian hierarchical modeling approach for estimating the size of a closed population from data obtained by identifying individuals through photographs of natural markings. We assume that noisy measurements of a set of distinctive features are available for each individual present in a photographic catalogue. To estimate the population size from two catalogues obtained during two different sampling occasions, we embed the standard two-stage Mt capture-recapture model for closed population into a multivariate normal data matching model that identifies the common individuals across the catalogues. In addition to estimating the population size while accounting for the matching process uncertainty, this hierarchical modelling approach allows to identify the common individuals by using the information provided by the capture-recapture model. This way, our model also represents a novel and reliable tool able to reduce the amount of effort researchers have to expend in matching individuals. We illustrate and motivate the proposed approach via a real data set of photo-identification of narwhals. Moreover, we compare our method with a set of possible alternative approaches by using both the empirical data set and a simulation study. © 2013 Springer Science+Business Media New York. Article in Journal/Newspaper narwhal* Sapienza Università di Roma: CINECA IRIS Environmental and Ecological Statistics 20 4 647 665
institution Open Polar
collection Sapienza Università di Roma: CINECA IRIS
op_collection_id ftunivromairis
language English
topic closed population
photo-identification
monodon monocero
population size estimation
multivariate normal record linkage
spellingShingle closed population
photo-identification
monodon monocero
population size estimation
multivariate normal record linkage
TANCREDI, ANDREA
Marie Auger Methe
Marianne Marcoux
LISEO, Brunero
Accounting for matching uncertainty in two stage capture-recapture experiments using photographic measurements of natural marks
topic_facet closed population
photo-identification
monodon monocero
population size estimation
multivariate normal record linkage
description We propose a Bayesian hierarchical modeling approach for estimating the size of a closed population from data obtained by identifying individuals through photographs of natural markings. We assume that noisy measurements of a set of distinctive features are available for each individual present in a photographic catalogue. To estimate the population size from two catalogues obtained during two different sampling occasions, we embed the standard two-stage Mt capture-recapture model for closed population into a multivariate normal data matching model that identifies the common individuals across the catalogues. In addition to estimating the population size while accounting for the matching process uncertainty, this hierarchical modelling approach allows to identify the common individuals by using the information provided by the capture-recapture model. This way, our model also represents a novel and reliable tool able to reduce the amount of effort researchers have to expend in matching individuals. We illustrate and motivate the proposed approach via a real data set of photo-identification of narwhals. Moreover, we compare our method with a set of possible alternative approaches by using both the empirical data set and a simulation study. © 2013 Springer Science+Business Media New York.
author2 Tancredi, Andrea
Marie Auger, Methe
Marianne, Marcoux
Liseo, Brunero
format Article in Journal/Newspaper
author TANCREDI, ANDREA
Marie Auger Methe
Marianne Marcoux
LISEO, Brunero
author_facet TANCREDI, ANDREA
Marie Auger Methe
Marianne Marcoux
LISEO, Brunero
author_sort TANCREDI, ANDREA
title Accounting for matching uncertainty in two stage capture-recapture experiments using photographic measurements of natural marks
title_short Accounting for matching uncertainty in two stage capture-recapture experiments using photographic measurements of natural marks
title_full Accounting for matching uncertainty in two stage capture-recapture experiments using photographic measurements of natural marks
title_fullStr Accounting for matching uncertainty in two stage capture-recapture experiments using photographic measurements of natural marks
title_full_unstemmed Accounting for matching uncertainty in two stage capture-recapture experiments using photographic measurements of natural marks
title_sort accounting for matching uncertainty in two stage capture-recapture experiments using photographic measurements of natural marks
publisher SPRINGER
publishDate 2013
url http://hdl.handle.net/11573/508254
https://doi.org/10.1007/s10651-013-0239-2
genre narwhal*
genre_facet narwhal*
op_relation info:eu-repo/semantics/altIdentifier/wos/WOS:000327086000008
volume:20
issue:4
firstpage:647
lastpage:665
numberofpages:19
journal:ENVIRONMENTAL AND ECOLOGICAL STATISTICS
http://hdl.handle.net/11573/508254
doi:10.1007/s10651-013-0239-2
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84888063640
op_rights info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.1007/s10651-013-0239-2
container_title Environmental and Ecological Statistics
container_volume 20
container_issue 4
container_start_page 647
op_container_end_page 665
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