A spatially varying stochastic differential equation model for animal movement

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12 Scopus citations


Animal movement exhibits complex behavior which can be influenced by unobserved environmental conditions. We propose a model which allows for a spatially varying movement rate and spatially varying drift through a semiparametric potential surface and a separate motility surface. These surfaces are embedded in a stochastic differential equation framework which allows for complex animal movement patterns in space. The resulting model is used to analyze the spatially varying behavior of ants to provide insight into the spatial structure of ant movement in the nest.

Original languageEnglish (US)
Pages (from-to)1312-1331
Number of pages20
JournalAnnals of Applied Statistics
Issue number2
StatePublished - Jun 2018

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • Statistics, Probability and Uncertainty


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