Builds an uncertainty model over the input data based on the spatially
correlated errors. Input data must be type of S4 class `Points`

.
Output object is type of S4 class `UncertainPoints`

.

1 2 |

`input` |
Input data. S4 class of |

`T` |
optional vector of time coordinates, T must always be an equidistant vector. Instead of T=seq(from=From, by=By, len=Len) one may also write T=c(From, By, Len). |

`grid` |
Logical; RandomFields can find itself the correct value in nearly all cases, so that usually grid need not be given. |

`distances` |
Another alternative to pass the (relative) coordinates. |

`dim` |
Only used if distances are given. |

`data` |
For conditional simulation and random imputing only. If data is missing, unconditional simulation is performed. |

`given` |
Optional, matrix or list. If given matrix then the coordinates can be given separately, namely by given where, in each row, a single location is given. |

For the calculations of spatially correlated errors was used package RandomFields.

Returns an object of class `UncertainPoints`

.

`Points-class`

, `UncertainPoints-class`

, `RFsimulate`

, `uncertaintyInterpolation2-package`

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