activity
20112022
most citedSpatially explicit models for inference about density in unmarked or partially marked populations

287 citations · 299 across the 6 of their papers we have counts for

collaborators

7 papers

stat.AP2022★ 2 cited

Integrated distance sampling models for simple point counts

Marc Kery, J. Andrew Royle, Tyler Hallman +3

Point counts (PCs) are widely used in biodiversity surveys, but despite numerous advantages, simple PCs suffer from several problems: detectability, and therefore abundance, is unk…

stat.AP2016

A multistate dynamic site occupancy model for spatially aggregated sessile communities

Keiichi Fukaya, J. Andrew Royle, Takehiro Okuda +2

Markov community models have been applied to sessile organisms because such models facilitate estimation of transition probabilities by tracking species occupancy at many fixed obs…

stat.ME2015

Spatial Capture-recapture with Partial Identity

J. Andrew Royle

We develop an inference framework for spatial capture-recapture data when two methods are used in which individuality cannot generally be reconciled between the two methods. A spec…

stat.OT2013★ 1 cited

Review of: Mixed Effects Models and Extensions in Ecology with R

J. Andrew Royle

This is a review of the book "Mixed Effects Models and Extensions in Ecology with R" by Zuur, Ieno, Walker, Saveliev and Smith (2009, Springer). I was asked to review this book for…

stat.ME2012★ 9 cited

Data Augmentation for Hierarchical Capture-recapture Models

J. Andrew Royle, Sarah J. Converse, William A. Link

Capture-recapture studies are widely used to obtain information about abundance (population size or density) of animal populations. A common design is that in which multiple distin…

q-bio.QM2012

Integrating Resource Selection Information with Spatial Capture-Recapture

J. Andrew Royle, Richard B. Chandler

Understanding space usage and resource selection is a primary focus of many studies of animal populations. Usually, such studies are based on location data obtained from telemetry,…