| RMpower {RandomFields} | R Documentation |
RMpower yields a variogram or covariance model
from a given variogram or covariance model.
The variogram gamma of the model is given by
gamma=phi^alpha
if phi is a variogram model. The covariance C of the model is given by
C(h) = phi(0)-(phi(0)-phi(h))^alpha
if phi is a covariance model.
RMpower(phi, alpha, var, scale, Aniso, proj)
phi |
a valid |
alpha |
a numerical value in the interval [0,1] |
var,scale,Aniso,proj |
optional arguments; same meaning for any |
If γ is a variogram, then γ^α is a valid variogram for α in the interval [0,1].
RMpower returns an object of class RMmodel.
Martin Schlather, schlather@math.uni-mannheim.de, http://ms.math.uni-mannheim.de
Schlather, M. (2012) Construction of covariance functions and unconditional simulation of random fields. In Porcu, E., Montero, J. M., Schlather, M. Advances and Challenges in Space-time Modelling of Natural Events, Springer, New York.
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set ## RFoptions(seed=NA) to make them all random again model <- RMpower(RMgauss(), alpha=0.5) x <- seq(0, 10, 0.02) plot(model) plot(RFsimulate(model, x=x))