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Stochastic differential equation based on a multimodal potential to model movement data in ecology ArchiMer
Gloaguen, Pierre; Etienne, Marie-pierre; Le Corff, Sylvain.
The paper proposes a new model for individuals' movement in ecology. The movement process is defined as a solution to a stochastic differential equation whose drift is the gradient of a multimodal potential surface. This offers a new flexible approach among the popular potential-based movement models in ecology. To perform parameter inference, the widely used Euler method is compared with two other pseudolikelihood procedures and with a Monte Carlo expectation-maximization approach based on exact simulation of diffusions. Performances of all methods are assessed with simulated data and with a data set of fishing vessel trajectories. We show that the usual Euler method performs worse than the other procedures for all sampling schemes.
Tipo: Text Palavras-chave: Exact simulation; Global Positioning System data; Local linearization; Movement model; Pseudolikelihood methods; Stochastic differential equation.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00429/54068/55461.pdf
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