vario {pastecs} | R Documentation

## Compute and plot a semi-variogram

### Description

Compute a classical semi-variogram for a single regular time series

### Usage

    vario(x, max.dist=length(x)/3, plotit=TRUE, vario.data=NULL)

### Arguments

`x` | a vector or an univariate time series
`max.dist` | the maximum distance to calculate. By default, it is the third of the number of observations
`plotit` | If `plotit=TRUE` then the graph of the semi-variogram is plotted
`vario.data` | data coming from a previous call to `vario()`. Call the function again with these data to plot the corresponding graph

### Value

A data frame containing distance and semi-variogram values

### Author(s)

Frédéric Ibanez (ibanez@obs-vlfr.fr), Philippe Grosjean (phgrosjean@sciviews.org)

### References

David, M., 1977. Developments in geomathematics. Tome 2: Geostatistical or reserve estimation. Elsevier Scientific, Amsterdam. 364 pp.

Delhomme, J.P., 1978. Applications de la théorie des variables régionalisées dans les sciences de l'eau. Bull. BRGM, section 3 n°4:341-375.

Matheron, G., 1971. La théorie des variables régionalisées et ses applications. Cahiers du Centre de Morphologie Mathématique de Fontainebleau. Fasc. 5 ENSMP, Paris. 212 pp.

### See Also

`disto`

### Examples

    data(bnr)
    vario(bnr[, 4])

[Package pastecs version 1.3-4 Index]