Data from: Abundance estimation with sightability data: a Bayesian data augmentation approach ...
1.Steinhorst&Samuel(1989)showedhowlogistic-regressionmodels,fit to detection data collected from radiocollaredanimals,can be used to estimate and adjust forvisibility bias in wildlife population surveys.Population abundance is estimated using a modified Horvitz Thompson(mHT) estimator in which c...
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ftdatacite:10.5061/dryad.f8669 2024-01-28T09:58:12+01:00 Data from: Abundance estimation with sightability data: a Bayesian data augmentation approach ... Fieberg, John Alexander, Michael Tse, Scarlett St. Clair, Katie 2013 https://dx.doi.org/10.5061/dryad.f8669 https://datadryad.org/stash/dataset/doi:10.5061/dryad.f8669 en eng Dryad https://dx.doi.org/10.1111/2041-210x.12078 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 sightability data 2006-2007 Alces alces Aerial survey marked animals Dataset dataset 2013 ftdatacite https://doi.org/10.5061/dryad.f866910.1111/2041-210x.12078 2024-01-04T15:12:18Z 1.Steinhorst&Samuel(1989)showedhowlogistic-regressionmodels,fit to detection data collected from radiocollaredanimals,can be used to estimate and adjust forvisibility bias in wildlife population surveys.Population abundance is estimated using a modified Horvitz Thompson(mHT) estimator in which counts of observed animal groups are divided by their estimated inclusion probabilities (determinedbyplot level sampling probabilities and detection probabilities estimated from radiocollaredindividuals).The sampling distribution of the mHT estimator is typically right skewed,and statistica linference relies on asymptotic theory that may not b eappropriate with small samples.2.We develop an alternative, Bayesian model based approach which we apply to data collected from moose (Alce salces) in Minnesota. We model detection probabilities as a function of visual obstruction, informed by data from 124 sightability trials involving radiocollared moose.These sightability data,along with counts of moose from a stratified ... : Sightability models and dataData and JAGS models associated with the following paper published in Methods in Ecology and Evolution: Fieberg, J., Alexander, M., Tse, S,, and K. St. Clair. 2013. Abundance estimation with sightability data: a Bayesian data augmentation approach. Methods in Ecology and Evolution.Fieberg et al sightability data and models.zip ... Dataset Alces alces alce DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
topic |
sightability data 2006-2007 Alces alces Aerial survey marked animals |
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sightability data 2006-2007 Alces alces Aerial survey marked animals Fieberg, John Alexander, Michael Tse, Scarlett St. Clair, Katie Data from: Abundance estimation with sightability data: a Bayesian data augmentation approach ... |
topic_facet |
sightability data 2006-2007 Alces alces Aerial survey marked animals |
description |
1.Steinhorst&Samuel(1989)showedhowlogistic-regressionmodels,fit to detection data collected from radiocollaredanimals,can be used to estimate and adjust forvisibility bias in wildlife population surveys.Population abundance is estimated using a modified Horvitz Thompson(mHT) estimator in which counts of observed animal groups are divided by their estimated inclusion probabilities (determinedbyplot level sampling probabilities and detection probabilities estimated from radiocollaredindividuals).The sampling distribution of the mHT estimator is typically right skewed,and statistica linference relies on asymptotic theory that may not b eappropriate with small samples.2.We develop an alternative, Bayesian model based approach which we apply to data collected from moose (Alce salces) in Minnesota. We model detection probabilities as a function of visual obstruction, informed by data from 124 sightability trials involving radiocollared moose.These sightability data,along with counts of moose from a stratified ... : Sightability models and dataData and JAGS models associated with the following paper published in Methods in Ecology and Evolution: Fieberg, J., Alexander, M., Tse, S,, and K. St. Clair. 2013. Abundance estimation with sightability data: a Bayesian data augmentation approach. Methods in Ecology and Evolution.Fieberg et al sightability data and models.zip ... |
format |
Dataset |
author |
Fieberg, John Alexander, Michael Tse, Scarlett St. Clair, Katie |
author_facet |
Fieberg, John Alexander, Michael Tse, Scarlett St. Clair, Katie |
author_sort |
Fieberg, John |
title |
Data from: Abundance estimation with sightability data: a Bayesian data augmentation approach ... |
title_short |
Data from: Abundance estimation with sightability data: a Bayesian data augmentation approach ... |
title_full |
Data from: Abundance estimation with sightability data: a Bayesian data augmentation approach ... |
title_fullStr |
Data from: Abundance estimation with sightability data: a Bayesian data augmentation approach ... |
title_full_unstemmed |
Data from: Abundance estimation with sightability data: a Bayesian data augmentation approach ... |
title_sort |
data from: abundance estimation with sightability data: a bayesian data augmentation approach ... |
publisher |
Dryad |
publishDate |
2013 |
url |
https://dx.doi.org/10.5061/dryad.f8669 https://datadryad.org/stash/dataset/doi:10.5061/dryad.f8669 |
genre |
Alces alces alce |
genre_facet |
Alces alces alce |
op_relation |
https://dx.doi.org/10.1111/2041-210x.12078 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.f866910.1111/2041-210x.12078 |
_version_ |
1789324860043821056 |