ctmm: an R package for analyzing animal relocation data as a continuous-time stochastic process. ctmm is an R package for analyzing animal tracking data as a continuous-time stochastic processes. Package features include FFT variogram and Lomb-Scargle periodogram analysis, Kalman-filter maximum-likelihood estimation, Kriging, simulation, and autocorrelated kernel-density home-range estimation. First-time users can start with the Methods in Ecology and Evolution paper and then move on to the up-to-date vignettes vignette(’variogram’) and vignette(’akde’)
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Mastrantonio, Gianluca; Grazian, Clara; Mancinelli, Sara; Bibbona, Enrico: New formulation of the logistic-Gaussian process to analyze trajectory tracking data (2019)
- Rocio Joo, Matthew E. Boone, Thomas A. Clay, Samantha C. Patrick, Susana Clusella-Trullas, Mathieu Basille: Navigating through the R packages for movement (2019) arXiv
- Johannes Signer, John Fieberg, Tal Avgar: Animal Movement Tools (amt): R-Package for Managing Tracking Data and Conducting Habitat Selection Analyses (2018) arXiv
- Brett T. McClintock, Theo Michelot: momentuHMM: R package for generalized hidden Markov models of animal movement (2017) arXiv