title: State-space models of individual animal movement.
abstract: Detailed observation of the movement of individual animals offers the potential to understand spatial population processes as the ultimate consequence of individual behaviour, physiological constraints and fine-scale environmental influences. However, movement data from individuals are intrinsically stochastic and often subject to severe observation error. Linking such complex data to dynamical models of movement is a major challenge for animal ecology. Here, we review a statistical approach, state-space modelling, which involves changing how we analyse movement data and draw inferences about the behaviours that shape it. The statistical robustness and predictive ability of state-space models make them the most promising avenue towards a new type of movement ecology that fuses insights from the study of animal behaviour, biogeography and spatial population dynamics.
authors.affiliation: Commonwealth Industrial and Scientific Research Association (CSIRO) Marine and Atmospheric Research, GPO Box 1538, Hobart, Tasmania 7001, Australia. Toby.Patterson@csiro.au
authors.forename: Toby A
authors.initials: TA
authors.lastname: Patterson
authors.forename: Len
authors.initials: L
authors.lastname: Thomas
authors.forename: Chris
authors.initials: C
authors.lastname: Wilcox
authors.forename: Otso
authors.initials: O
authors.lastname: Ovaskainen
authors.forename: Jason
authors.initials: J
authors.lastname: Matthiopoulos
mesh_terms: D000818:Animals; D001522:Behavior, Animal; D008124:Locomotion; D008954:Models, Biological