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, perturbative REML 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')
.
forked from ctmm-initiative/ctmm
-
Notifications
You must be signed in to change notification settings - Fork 0
Continuous-Time Movement Modeling. Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data.
AnjaliSadanandan/ctmm
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Continuous-Time Movement Modeling. Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic movement models to animal tracking data.
Resources
Stars
Watchers
Forks
Packages 0
No packages published
Languages
- R 100.0%