activity
20132020
most citedUncovering ecological state dynamics with hidden Markov models

244 citations · 373 across the 6 of their papers we have counts for

collaborators

7 papers

q-bio.QM2020★ 244 cited

Uncovering ecological state dynamics with hidden Markov models

Brett T. McClintock, Roland Langrock, Olivier Gimenez +4

Ecological systems can often be characterised by changes among a finite set of underlying states pertaining to individuals, populations, communities, or entire ecosystems through t…

q-bio.QM2016

Estimation and simulation of foraging trips in land-based marine predators

Théo Michelot, Roland Langrock, Sophie Bestley +3

The behaviour of colony-based marine predators is the focus of much research globally. Large telemetry and tracking data sets have been collected for this group of animals, and are…

stat.AP2016

Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges

Toby A Patterson, Alison Parton, Roland Langrock +3

With the influx of complex and detailed tracking data gathered from electronic tracking devices, the analysis of animal movement data has recently emerged as a cottage industry amo…

q-bio.QM2016

Analysis of animal accelerometer data using hidden Markov models

Vianey Leos-Barajas, Theoni Photopoulou, Roland Langrock +4

Use of accelerometers is now widespread within animal biotelemetry as they provide a means of measuring an animal's activity in a meaningful and quantitative way where direct obser…

stat.AP2015★ 6 cited

Modelling latent individual heterogeneity in mark-recapture data with Dirichlet process priors

Jessica H Ford, Toby A Patterson, Mark V Bravington

The natural subgroups often seen in mark-recapture studies and the complexity of real mark-recapture data means that parametric and discrete style models can be insufficient. Non-p…

stat.AP2015

Efficient MCMC implementation of multi-state mark-recapture models

Jessica H Ford, Toby A Patterson, Mark V Bravington

Inherent differences in behaviour of individual animal movement can introduce bias into estimates of population parameters derived from mark-recapture data. Additionally, quantifyi…

q-bio.QM2013★ 123 cited

Modelling group dynamic animal movement

Roland Langrock, J. Grant C. Hopcraft, Paul G. Blackwell +7

Group dynamic movement is a fundamental aspect of many species' movements. The need to adequately model individuals' interactions with other group members has been recognised, part…