The goal of stmove is to make more accessible and transparent standard spatio-temporal approaches to interpreting movement data before getting into more challenging aspects of deconstructing movement trajectories. Analyses in this package expect “clean, regular, movement data time series” which consists of a sequence of points
(x, y, time) where
time = 0, 1, 2, 3,..., T and all missing points have been interpolated and filled in.
For a detailed review of stmove’s motivation and functionality, please see our preprint available on Biorxiv.
stmove is in active development and not yet available on CRAN. To download the current version of the package use the following code:
If you encounter bugs or have features you would like to see incorporated in future version of stmove, please open an issue.
The primary function of this package is
build_report which, given a clean regularized trajectory, will deliver a .Rmd and .pdf report including the results of the following computations.
Once these are done, one can then pursue various kinds of analysis that address questions of interest (e.g., GLM models of location and landscape, HMM modeling, step section analysis), but this package strives to set a standard for what is minimally needed before embarking on such analyses.