transformTrajectories: Transform trajectories

In emf-creaf/ecotraj: Ecological Trajectory Analysis

Transform trajectories

Description

The following functions are provided to transform trajectories:

• Function smoothTrajectories performs multivariate smoothing on trajectory data using a Gaussian kernel.

• Function centerTrajectories shifts all trajectories to the center of the multivariate space and returns a modified distance matrix.

Usage

smoothTrajectories(
  x,
  survey_times = NULL,
  kernel_scale = 1,
  fixed_endpoints = TRUE
)

centerTrajectories(x, exclude = integer(0))

Arguments

x	An object of class trajectories.
survey_times	A vector indicating the survey time for all surveys (if NULL, time between consecutive surveys is considered to be one)
kernel_scale	Scale of the Gaussian kernel, related to survey times
fixed_endpoints	A logical flag to force keeping the location of trajectory endpoints unmodified
exclude	An integer vector indicating sites that are excluded from trajectory centroid computation. Note: for objects of class cycles, external are excluded by default.

Details

Details of calculations are given in De Cáceres et al (2019). Function centerTrajectories performs centering of trajectories using matrix algebra as explained in Anderson (2017).

Value

A modified object of class trajectories, where distance matrix has been transformed.

Author(s)

Miquel De Cáceres, CREAF

Nicolas Djeghri, UBO

References

De Cáceres M, Coll L, Legendre P, Allen RB, Wiser SK, Fortin MJ, Condit R & Hubbell S. (2019). Trajectory analysis in community ecology. Ecological Monographs 89, e01350.

Anderson (2017). Permutational Multivariate Analysis of Variance (PERMANOVA). Wiley StatsRef: Statistics Reference Online. 1-15. Article ID: stat07841.

See Also

trajectoryPlot trajectoryMetrics

emf-creaf/ecotraj documentation built on April 17, 2025, 5:42 a.m.