From the 1 of 5 linked papers with an AI index.
5 papers
Incorporating Animal Movement into Continuous-Time Spatial Capture-Recapture Models
Clara Panchaud, Ruth King, David Borchers +1
Estimation of wildlife population size and spatial dynamics is central to ecology and conservation. Spatial capture-recapture (SCR) models estimate abundance, using detections at s…
Capture history analysis for spatial wildlife surveys with detection times
Benjamin R. Baer, David L. Borchers, Greg Distiller
The paper introduces a maximum‑likelihood framework that incorporates both capture times and locations for wildlife capture‑recapture surveys, covering various trap types and using…
Spatial Capture-Recapture With Penalized Regression Splines to Flexibly Model Wildlife Density and Distribution
Andrew E. Seaton, David L. Borchers, Milou Groenenberg +1
Spatial capture-recapture models are routinely used to estimate the abundance and distribution of wild animal populations and involve a latent spatial point process of animal activ…
Incorporating Memory into Continuous-Time Spatial Capture-Recapture Models
Clara Panchaud, Ruth King, David Borchers +3
Obtaining reliable and precise estimates of wildlife species abundance and distribution is essential for the conservation and management of animal populations and natural reserves.…
Approximate Maximum Likelihood Inference for Acoustic Spatial Capture-Recapture with Unknown Identities, Using Monte Carlo Expectation Maximization
Yuheng Wang, Juan Ye, Weiye Li +1
Acoustic spatial capture-recapture (ASCR) surveys with an array of synchronized acoustic detectors can be an effective way of estimating animal density or call density. However, co…