INTAMAP developments
Scientific developments
Spatial coupla interpolation methods
The spatial copula methods for interpolation of non-Gaussian data was developed at the University of Klagenfurt. The copula based method allows us to specify non-Gaussian marginal (at a point) distributions, with an underlying random field model. However this is not the same as transformed Gaussian kriging (which is a special case of copula kriging). Copula based methods are very flexible and both maximum likelihood and Bayesian approaches are possible, however they can be rather slow in operation. In the INTAMAP system uses copula based methods if non-Gaussian distributions are encountered.
A description of the method can be found in the following papers and reports:
Deliverable 3.4 Spatial interpolation using copulas
