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Behavioural state inference from movement and environmental data using Markovian step selection functions
Abstract Animal movement data often contain multiple behavioural states that vary across space and time, but identifying these states in a biologically interpretable way remains challenging. We propose an ecologically guided framework for inferring individual beha
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