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...
Published in: | Environmental and Ecological Statistics |
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Format: | Article in Journal/Newspaper |
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Online Access: | http://hdl.handle.net/11573/508254 https://doi.org/10.1007/s10651-013-0239-2 |
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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 |
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Open Polar |
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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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1796946588912844800 |