# RPprocess

From RandomFields v3.1.36
by Martin Schlather

##### Models for classes of random fields (RP commands)

Here, all the classes of random fields are described that can be simulated

- Keywords
- spatial

##### Implemented processes

Gaussian Random fields |

see Gaussian |

Max-stable Random Fields |

see Maxstable |

Other Random Fields |

Binary field |

chi2 field |

composed Poisson (shot noise, random coin) |

t field |

##### See Also

##### Examples

```
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
x <- seq(0, 10, 0.1)
model <- RMexp()
## a Gaussian field with exponential covaraince function
z <- RFsimulate(model, x)
plot(z)
## a binary field obtained as a thresholded Gaussian field
b <- RFsimulate(RPbernoulli(model), x)
plot(b)
sum( abs((z@data$variabl1 >=0 ) - b@data$variable1)) == 0 ## TRUE,
## i.e. RPbernoulli is indeed a thresholded Gaussian process
```

*Documentation reproduced from package RandomFields, version 3.1.36, License: GPL (>= 3)*

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