Nothing

```
#' @describeIn aem.weight.edges
#' @export
aem.weight.time <- function(dates, distmat=NULL,alpha=2, beta=NULL, max.d=NULL, unit.angle="degrees", rot.angle=0, rm.same.y=TRUE, plot.connexions=TRUE){
#
# dates : vector of dates.
# alpha : exponent of the first weighting function
# beta : exponent of the second weighting function
# max.d : maximum distance for weighting. Default value (not recommended in most
# cases): the maximum distance among dates in the 'dates' vector.
# A more meaningful solution in many applications is to compute a
# Moran's I correlogram (for univariate data) or a Mantel correlogram
# (for multivariate data), and use the distance where the correlation
# becomes 0 as the value for max.d.
#
### F. Guillaume Blanchet - August 2013
##########################################################################################
n <- length(dates)
nb <- cell2nb(1,n)
xy <- cbind(1:n, rep(1, n), dates)
w <- aem.weight.edges(nb.object=nb, coords=xy, distmat=distmat, alpha=alpha, beta=beta, max.d=max.d, unit.angle=unit.angle, rot.angle=rot.angle, rm.same.y=rm.same.y, plot.connexions=plot.connexions)
w
}
```

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