Cargando…
Time series sightability modeling of animal populations
Logistic regression models—or “sightability models”—fit to detection/non-detection data from marked individuals are often used to adjust for visibility bias in later detection-only surveys, with population abundance estimated using a modified Horvitz-Thompson (mHT) estimator. More recently, a model-...
Autores principales: | ArchMiller, Althea A., Dorazio, Robert M., St. Clair, Katherine, Fieberg, John R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766105/ https://www.ncbi.nlm.nih.gov/pubmed/29329309 http://dx.doi.org/10.1371/journal.pone.0190706 |
Ejemplares similares
-
Practical Bias Correction in Aerial Surveys of Large Mammals: Validation of Hybrid Double-Observer with Sightability Method against Known Abundance of Feral Horse (Equus caballus) Populations
por: Lubow, Bruce C., et al.
Publicado: (2016) -
Estimating the movements of terrestrial animal populations using broad-scale occurrence data
por: Supp, Sarah R., et al.
Publicado: (2021) -
Circular–linear copulae for animal movement data
por: Hodel, Florian H., et al.
Publicado: (2022) -
A hierarchical model for estimating the spatial distribution and abundance of animals detected by continuous-time recorders
por: Dorazio, Robert M., et al.
Publicado: (2017) -
Animal movement tools (amt): R package for managing tracking data and conducting habitat selection analyses
por: Signer, Johannes, et al.
Publicado: (2019)