Before revision:  Within the R software alone, we listed 57 focused on these tasks, called here tracking packages. Here, we reviewed these tracking packages, as an introduction to this set of packages for researchers, and to provide feedback and recommendations to package developers, from a user perspective. We described each package based on a workflow centered around tracking data (i.e.  (x,y,t)), broken down in three stages: pre-processing, post-processing , and analysis( data visualization, track description, path reconstruction, behavioral pattern identification, space use characterization, trajectory simulation and others ) . Supporting documentation is key to the accessibility of a package for users.
After revision:  Within the R software alone, we listed 59 packages created to deal with tracking data or 'tracking packages'. Here we reviewed and described each tracking package based on a workflow centered around tracking data (i.e. (x,y,t)), broken down in three stages: pre-processing, post-processing , and analysis( data visualization, track description, path reconstruction, behavioral pattern identification, space use characterization, trajectory simulation and others ) . Supporting documentation is key to the accessibility of a package for users.