spCopula: Spatial Copula

Description Usage Arguments Value Author(s) References See Also Examples

Description

Constructor of a bivariate spatial copula spCopula.

Usage

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spCopula(components, distances, spDepFun, unit = "m")

Arguments

components

A list of bivariate copulas to be used at each lag.Will be supplemented by the independence copula.

distances

A vector of the mean distances of the lag classes PLUS the range which will define the use of the independence copula.

spDepFun

The spatial dependence function. Typically, the result of fitCorFun. If no spatial dependence function is provided, the spatial copula will be a pure linear convex combination of the provided components (i.e. no further fit of their parameters will take place).

unit

The spatial unit, default: m (meters)

Value

An instance of the spatial Copula class.

Author(s)

Benedikt Graeler

References

Graeler, B. and E. Pebesma (2011): The pair-copula construction for spatial data: a new approach to model spatial dependency. Procedia Environmental Sciences (Vol. 7, pp. 206 - 211), Elsevier.

See Also

See also calcBins or loglikByCopulasLags and demo(spcopula_estimation).

Examples

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data("spCopDemo")

calcKTauPol <- fitCorFun(bins, degree=3)

spCop <- spCopula(components=list(normalCopula(), tCopula(),
                                  frankCopula(), normalCopula(), claytonCopula(),
                                  claytonCopula(), claytonCopula(), claytonCopula(),
                                  claytonCopula(), indepCopula()),
                  distances=bins$meanDists,
                  spDepFun=calcKTauPol, unit="m")

spcopula documentation built on May 2, 2019, 4:49 p.m.