ctmm: an r package for analyzing animal relocation data as a continuous‐time stochastic process

Summary Movement ecology has developed rapidly over the past decade, driven by advances in tracking technology that have largely removed data limitations. Development of rigorous analytical tools has lagged behind empirical progress, and as a result, relocation data sets have been underutilized. Discrete‐time correlated random walk models ( CRW ) have long served as the foundation for analyzing relocation data. Unfortunately, CRW s confound the sampling and movement processes. CRW parameter estimates thus depend sensitively on the sampling schedule, which makes it difficult to draw sampling‐independent inferences about the underlying movement process. Furthermore, CRW s cannot accommodate the multiscale…

• NS
  National Science Foundation

  Awards: 1062411, ABI-1062411, 0090323, ABI-1458748
• SI
  Smithsonian Institution
• CF
  Center for Translational Molecular Medicine
• NI
  National Institutes of Health

  Award: DEB‐0090323