Presentation of data sets | simulshift: three successive home-range shifts | Running segmentation() | Different running configurations | Selecting the number of segments | Segmentation-Clustering | Setting segclust() parameters. | Required: ncluster: the number of clusters | Running segclust() | Selecting the number of clusters and segments.

Possible outputs and general functioning | General functioning | Default values for nseg and ncluster | Graphical outputs | Default value for order | List of functions | Examples | plot.segmentation for segmented time-series | segmap - map the segmentation | stateplot - plot states statistics | Extract information from segmentation | augment - get data.frame with segment/cluster information for all points | segment - Extract each segment (begin, end, statistics) | states - statistics about each states. | Get likelihood for all segmentation or segmentation/clustering | log-Likelihood (segmentation) | BIC-based penalized likelihood (segclust)

Type of data accepted and content required to run segmentation() or segclust() | data.frame | Move | ltraj | sftraj | Limitations on data size and subsampling | Subsampling options | Disabling automatic subsampling | Automatic subsampling | Manual subsampling | Consequences of subsampling on lmin | Best practice with subsampling | Covariate calculations | Advice on data pre-processing