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
.
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.
install.packages("segclust2d")
If you want the newest
,
you can install segclust2d
from github with:
devtools::install_github("rpatin/segclust2d")