Simulation based on circulant embedding
Simulating a conditional/unconditional Gaussian random field via kriging and circulant embedding
krigeSimCE(formula, data, newdata, model, n = 1, ext = 2)
formula |
the formula of the kriging predictor |
data |
spatial data frame that conditions the simulation |
newdata |
locations in space where the Gaussian random field shall be simulated |
model |
a vgm model that defines the spatial covariance structure |
n |
number of simulations |
ext |
extension factor of the circulant embedding, defaults to 2 |
A spatial data frame as defined in newdata with n simulations.
Benedikt Graeler
Davies, Tilman M., and David Bryant: "On circulant embedding for Gaussian random fields in R." Journal of Statistical Software 55.9 (2013): 1-21. See i.e. the supplementary files at (retrieved 2018-05-25): https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v055i09/v55i09.R
# see demo('circEmbeddingMeuse')Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.