Compute and plot a semi-variogram
Compute a classical semi-variogram for a single regular time series
vario(x, max.dist=length(x)/3, plotit=TRUE, vario.data=NULL)
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 |
vario.data |
data coming from a previous call to |
A data frame containing distance and semi-variogram values
Frédéric Ibanez (ibanez@obs-vlfr.fr), Philippe Grosjean (phgrosjean@sciviews.org)
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.
data(bnr) vario(bnr[, 4])
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