T. Michelot

Step selection analysis with non-linear and random effects in mgcv

This paper extends step selection analysis by incorporating non-linear and random effects using penalised smooths in the mgcv R package, enhancing flexibility and biological realism in modeling animal movement and habitat selection.

Flexible hidden Markov models for behaviour-dependent habitat selection

This paper introduces an integrated HMM-SSF model to jointly analyze behavior-dependent habitat selection in animals, identifying distinct behavioral states and their spatial preferences in zebras.