sim_spdata: Simulation of gaussian spatial data using Cholesky...

In claudiofronterre/geomask: Geostatistical modeling of geomasked data

Description

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.

Usage

sim_spdata(locations, cov_model = "matern", cov_pars = c(1, 0.16),
  nugget = 0.5, kappa = 0.5)

Arguments

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.spatial.
cov_pars	A numeric vector with 2 elements with the covariance parameters. The first element corresponds to the variance parameter σ^2. The second element or corresponds to the range parameter φ of the correlation function.
nugget	Value of the nugget parameter τ^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".

Value

A numeric vector containing the simualted spatial data.

claudiofronterre/geomask documentation built on Sept. 4, 2019, 2:13 p.m.