interpolate: Linearly interpolate and group locations to a regular time...

In lawlerem/markmodmover: Analyze animal movement data using the Markov-modulated movement model.

Description

Provide a time interval and cutoff level to linearly interpolate a movement track.

Usage

interpolate(object, ...)

## S4 method for signature 'Data4M'
interpolate(object, method = "linear", Time.Step,
  Group.Cutoff = 2 * Time.Step, units = "hrs")

Arguments

object	An object of or inheriting from class Data4M.
method	Which interpolation method to use? Can be linear, fmm, or natural (the last two of which are spline methods).
Time.Step	The time interval used in the regular time grid.
Group.Cutoff	Observations which are spaced further apart than this will be separated into different group.
units	Can be one of days, hrs, mins, or secs.

Value

Returns a copy of object with the Interpolation.Parameters, Interpolated.Locations, and Movement.Data slots filled in.

Examples

sealdata<- data4M(greyseal)
sealdata<- interpolate(sealdata,Time.Step = 66, units = "mins")

lawlerem/markmodmover documentation built on Feb. 12, 2020, 8:30 p.m.