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The segmentation method is a\nbivariate extension of Lavielle's method available in\n'adehabitatLT' (Lavielle, 1999\n and 2005\n). This method rely on\ndynamic programming for efficient segmentation. The\nsegmentation/clustering method alternates steps of dynamic\nprogramming with an Expectation-Maximization algorithm. This is\nan extension of Picard et al (2007)\n method (formerly\navailable in 'cghseg' package) to the bivariate case. 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"title": "Generic function for augment", "topics": [ "augment" ] }, { "page": "bisig_plot", "title": "bisig_plot draws the plots of the bivariate signal on the same plot (scale free)", "topics": [ "bisig_plot" ] }, { "page": "calc_BIC", "title": "Calculate BIC", "topics": [ "calc_BIC" ] }, { "page": "calc_dist", "title": "Calculate distance between locations", "topics": [ "calc_dist" ] }, { "page": "calc_speed", "title": "Calculate speed along a path", "topics": [ "calc_speed" ] }, { "page": "calc_stat_states", "title": "Calculate state statistics", "topics": [ "calc_stat_states" ] }, { "page": "check_repetition", "title": "Check for repetition in the series", "topics": [ "check_repetition" ] }, { "page": "choose_kmax", "title": "Finding best segmentation with a different threshold S", "topics": [ "choose_kmax" ] }, { "page": "chooseseg_lavielle", "title": "Internal Function for choosing optimal number of segment", "topics": [ "chooseseg_lavielle" ] }, { "page": "colsums_sapply", 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"page": "repmat", "title": "repmat repeats a matrix", "topics": [ "repmat" ] }, { "page": "ruptAsMat", "title": "ruptAsMat is an internal function to transform a vector giving the change point to matrix 2 columns matrix in which each line gives the beginning and the end of a segment", "topics": [ "ruptAsMat" ] }, { "page": "segclust", "title": "Segmentation/Clustering of movement data - Generic function", "topics": [ "segclust", "segclust.data.frame", "segclust.ltraj", "segclust.Move" ] }, { "page": "segclust_internal", "title": "Internal segmentation/clustering function", "topics": [ "segclust_internal" ] }, { "page": "segclust2d", "title": "segclust2d: tools for segmentation of animal GPS movement data", "topics": [ "segclust2d-package", "segclust2d" ] }, { "page": "segmap_list", "title": "'segmap_list' create maps with a list of object of 'segmentation' class", "topics": [ "segmap_list" ] }, { "page": "segmentation", "title": "Segmentation of movement data - Generic function", 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