Description Usage Arguments Value Author(s) Examples
A bivariate spatial copula is composed out of a set of bivariate copulas. These are combined using a convex linear combination with weights based on distances where for copulas with a 1-1 correspondence of Kendall's tau or Spearman's rho a dependence function providing measures of association based on distances might be used.
1 | composeSpCopula(bestFit, families, bins, calcCor, range=max(bins$meanDists))
|
bestFit |
A vector indicating the best fitting copula family index (as in |
families |
The list of investigated families. |
bins |
The spatial bins used. |
calcCor |
Optional, some spatially dependent function providing values of Kendall's tau for distances. |
range |
The maximal distance to be used for the spatial copula. By default, the maximum distance provided by bins will be used. |
A (spCopula
) object.
Benedikt Graeler
1 2 | composeSpCopula(c(1,1,2,3),families=list(frankCopula(.4), gumbelCopula(1.6),gumbelCopula(1.4)),
bins=data.frame(meanDists=c(0,500,1000,1500,2000)),range=1750)
|
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