Description Usage Arguments Value Author(s) References See Also 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. This function estimates a spatial dependence function, evaluates the log-likelihood per family and lag class, selects the best fits and composes a spatial bivariate copula.
1 2 |
bins |
the bins to be used, typically output from |
data |
the spatial dataset that ahs been used to generate |
cutoff |
The maximal distance to be used in the fit. |
families |
The set of families to be investigated. |
... |
Passed on to the function |
A spCopula
object.
Benedikt Graeler
Graeler, B. & E. Pebesma (2011): The pair-copula construction for spatial data: a new approach to model spatial dependency. Poster at: Spatial Statistics 2011 - Mapping global change. Enschede, The Netherlands, 23-25 March 2011. DOI: 10.1016/j.proenv.2011.07.036
Take a look at fitCorFun
, loglikByCopulasLags
, composeSpCopula
and spCopula
to gain more control over the fitting procedure.
1 2 3 4 5 6 7 8 9 10 11 12 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.