mean.variogram: Compute a number-weighted average of variogram objects

In ctmm: Continuous-Time Movement Modeling

Compute a number-weighted average of variogram objects

Description

This function takes a list of variogram objects and calculates its number-weighted average variogram.

Usage

## S3 method for class 'variogram'
mean(x,...)

Arguments

x	A variogram object or list of such objects to be averaged.
...	Additional variograms if specified individually.

Value

Returns a variogram object which is a dataframe containing the lag, the semi-variance estimate at that lag, and the approximate degrees of freedom associated with the semi-variance estimate.

Note

Variogram averaging should only be used when there is a degree of similarity across individual variograms.

Author(s)

J. M. Calabrese and C. H. Fleming

References

C. H. Fleming, J. M. Calabrese, T. Mueller, K.A. Olson, P. Leimgruber, W. F. Fagan, “From fine-scale foraging to home ranges: A semi-variance approach to identifying movement modes across spatiotemporal scales”, The American Naturalist, 183:5, E154-E167 (2014) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1086/675504")}.

See Also

plot.variogram, variogram.

Examples

# Load package and data
library(ctmm)
data(buffalo)

# Calculate a list of variograms for all similar individuals in the dataset
# the 4th buffalo has a different sampling rate
SVFS <- lapply( buffalo[-4] , variogram )
# alternatively, we could variogram all at coarsest scale with variogram option dt

# Calculate the average variogram
SVF <- mean(SVFS)

# Plot the mean variogram
plot(SVF)

ctmm documentation built on Sept. 24, 2023, 1:06 a.m.