This function calculates a weighted average of autocorrelated kernel density home-range estimates from
akde. The point estimates are correct, but the confidence-interval calculation is not yet complete.
# S3 method for UD mean(x,weights=NULL,...)
A list of
A vector of numeric weights with the same length as
Additional arguments for future use.
By default, uniform weights are used (
weights=rep(1,length(x))). This can be sensible for averaging over individuals. For averaging over periods of time, users should consider weighting by the proportion of time spent in each distribution. For example, if an animal spends 4 months in its winter range,
x[], and 7 months in its summer range,
x[], then the annual range (sans migration corridor) would be calculated with
All UDs need to be calculated on the same grid (see
overlap for an example).
UD object: a list with the sampled grid line locations
r$y, the extent of each grid cell
dr, the probability density and cumulative distribution functions evaluated on the sampled grid locations
CDF, the optimal bandwidth matrix
H, and the effective sample size of the data in
C. H. Fleming
The confidence intervals are not yet calculated correctly.