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1.1.2. Identifying different behaviors in movement

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Individuals rarely move in a homogeneous manner, and different movement patterns are often observed. In Nathan et al. (2008), the authors propose a formalization of the mechanisms responsible for individual movement. Among the different aspects mentioned, the internal state of the individual and the environment in which it exists are identified as important mechanisms of movement. It seems reasonable to believe that the internal state of an individual affects its behavior, resulting in a change of movement regime.

Any study of individual movement must permit the identification of different states or activities. In this case, the hidden variable is the activity of the individual, while the observed variable is its position, or various metrics derived from this position, as we shall see later. Section 1.2.2 presents a reconstruction of behavior based on movement observations, using a specific latent variable model known as a hidden Markov model.

Statistical Approaches for Hidden Variables in Ecology

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