Introduction
segclust2d provides R code for a segmentation method that can be used on all bivariate time-series. The segmentation method can additionally be associated with a clustering algorithm. It was originally intended for ecological segmentation (home-range and behavioural modes) but can be easily applied on other type of time-series. The package also provides tools for analysing outputs from R packages moveHMM and marcher.
Website
Full documentation for segclust2d is available on this website: https://rpatin.github.io/segclust2d/
Three topics are discussed there, and are also available as vignettes in the R package:
- First, preparation of data to be analyzed with segmentation/clustering algorithm, including covariate calculations, subsampling and guidelines to prepare movement data.
- Second, a guide to run the segmentation and segmentation/clustering method, including advise on setting parameters.
- Finally, an overview of the possible outputs that can be generated with the package.
Installation
For the version :
install.packages("segclust2d")If you want the newest 
, you can install segclust2d from github with:
devtools::install_github("rpatin/segclust2d")