The article "State-space models of individual animal movement" by Toby Patterson, Len Thomas, Chris Wilcox, Otso Ovaskainen, and Jason Matthiopoulos reviews the use of state-space models (SSMs) in analyzing animal movement data. SSMs integrate a mechanistic model of movement dynamics with an observation model, allowing for the estimation of true animal states and the prediction of future movements. The authors highlight the importance of accounting for observation errors and the complexity of movement data, which often requires sophisticated statistical methods. They discuss the advantages of SSMs over traditional approaches, such as their ability to handle nonlinear and non-Gaussian data, and their potential to integrate individual behavior, biogeography, and population dynamics. The article also covers various applications of SSMs in different ecological contexts, including marine and terrestrial systems, and outlines future directions for research, emphasizing the need to incorporate more biological detail into SSMs.The article "State-space models of individual animal movement" by Toby Patterson, Len Thomas, Chris Wilcox, Otso Ovaskainen, and Jason Matthiopoulos reviews the use of state-space models (SSMs) in analyzing animal movement data. SSMs integrate a mechanistic model of movement dynamics with an observation model, allowing for the estimation of true animal states and the prediction of future movements. The authors highlight the importance of accounting for observation errors and the complexity of movement data, which often requires sophisticated statistical methods. They discuss the advantages of SSMs over traditional approaches, such as their ability to handle nonlinear and non-Gaussian data, and their potential to integrate individual behavior, biogeography, and population dynamics. The article also covers various applications of SSMs in different ecological contexts, including marine and terrestrial systems, and outlines future directions for research, emphasizing the need to incorporate more biological detail into SSMs.