The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

segclust2d: bivariate segmentation with optional clustering for R

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")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.