pop_clust: Population-level clustering of movement metrics

In BastilleRousseau/moveNT: An R package for the analysis of movement data using network theory

Population-level clustering of movement metrics

Description

Combine individual-level clustering of movement metrics into a population-level clustering (second step). Users can the maximum number of clusters. See also mclust

Usage

pop_clust(traj, ls, max.n.clust = 8)

Arguments

traj	The trajectory object
max.n.clust	The maximum number of clusters to test, see the documentation for mclust for more information. Default = 8.
ls_ind	Individual-level clustering object, the output of ind_clust.

Value

A list object with each element representing an individual.

Examples

data(albatross)
grid<-loop(albatross, 35000)
table_grid<-table_cluster(albatross, grid)
ls_ind<-ind_clust(table_grid, max.n.clust=8)
pop<-pop_clust(albatross, ls_ind)
pop[[1]]$parameters$mean
pop[[1]]$parameters$pro

BastilleRousseau/moveNT documentation built on Aug. 26, 2023, 5:54 a.m.