This function takes a list of variogram objects and calculates its number-weighted average variogram.
## S3 method for class 'variogram' mean(x,...)
Additional variograms if specified individually.
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.
Variogram averaging should only be used when there is a degree of similarity across individual variograms.
J. M. Calabrese and C. H. Fleming
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) doi: 10.1086/675504.
# 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)
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