Description Usage Arguments Details Value Author(s) See Also Examples

Nonparametric smoothing with kernel regression estimators and adaptable bandwidth for variogram smoothing.

1 | ```
smoothVariogram(variogram, sill, bandwidth)
``` |

`variogram` |
A |

`sill` |
A |

`bandwidth` |
A numeric vector of same length as the variogram (number of
rows). Default: |

It is necessary to smooth the variogram. Especially for greater
`h`

the variogram tends to oscillate strongly. This is the reason
why the default bandwidth increases with increasing
`h`

. Nevertheless, the smoothed variogram may further increase or
decrease after a horizontal part (sill). This is mostly due to the small number
of observations for high distances. To wipe out this bias it is useful to
set the smoothed variogram to a fixed value above a certain `h`

, usually the mean value of the
horizontal part. If a smoothed value *v.sm* is greater than
`sill`

for distance *h_{range}*, this *v.sm* and all other
smoothed values with *h > h_{range}* are set to `sill`

. Internally, the function `lokerns`

from package `lokerns`

is used for smoothing.

The variogram matrix (or a list with the variogram matrix) with an additional column of the smoothed
`v`

values.

Katja Hebestreit

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