Given a set of spatial coordinates this function generates gaussian distributed data whose spatial structure is defined by the user through the specification of a spatial correlation function.
sim_spdata(locations, cov_model = "matern", cov_pars = c(1, 0.16), nugget = 0.5, kappa = 0.5)
| locations | A two column matrix containing the locations (coordinates x and y). |
|---|---|
| cov_model | A string indicating the type of the correlation function.
For the available choices see |
| cov_pars | A numeric vector with 2 elements with the covariance parameters. The first element corresponds to the variance parameter \(\sigma^2\). The second element or corresponds to the range parameter \(\phi\) of the correlation function. |
| nugget | Value of the nugget parameter \(\tau^2\). |
| kappa | Numerical value for the additional smoothness parameter of the correlation function. Only required by the following correlation functions: "matern", "powered.exponential", "cauchy", "gencauchy" and "gneiting.matern". |
A numeric vector containing the simualted spatial data.