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...
| Main Authors: | , , , |
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| Format: | Dataset |
| Language: | English |
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Dryad
2013
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.f8669 https://datadryad.org/stash/dataset/doi:10.5061/dryad.f8669 |
| Summary: | 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 ... |
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