6 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
Many wildlife surveys of species with individually identifiable animals are based on the analysis of the capture histories of individual animals. However, not many of these take ac…
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…
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…
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.…
Exact Likelihoods for N-mixture models with Time-to-Detection Data
Linda M Haines, Res Altwegg, David L. Borchers
This paper is concerned with the formulation of -mixture models for estimating the abundance and probability of detection of a species from binary response, count and time-to-de…