In time series analysis, people are more or less work with either
covariance function or correlation function which are measure of
similarity while in geostatistics, people are working with variogram
function which is measure of variability. You could model your variable
in 1-D using variogram function and you would get the same results
compared to using either covariance function or correlation function.
On Mon, 6 Mar 2006, Andrea Aimi wrote:
> I´m looking to interpolate time series of temperature, with spline or
> co-kriging. I found many literature about these two geostatistical methods,
> but very few about how to use them in interpolation of time series (or about
> some "trick" to solve the problem in other way). Can you tell me if there is
> some papers, books or other about it?