Hi,
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 themin interpolation of time series (or about some trick to solve the problem in other way). Can you tell me if there
Hi, Andrea,
Why dont you consider using bandlimited
interpolation instead?
If you are interested, I can send you some
references on that topic.
Regards,
Jorge Carvalho
*
Jorge M. C. M. Carvalho
Mining Department
Hi
All,
I am sort of a
beginner within this field and my question might seem a bit simple. Any help
would be appreciated however.
In commercial all
purpose software's such as SURFER there is an option to exclude the nugget
effect from the kriging interpolation.
The purpose is to
ensure
Hi Niklas
You'll get better/more detailed
explanations than this, but kriging is what they call an 'exact interpolator' in
that the data values are honoured at their locations (ie: 0 error
variance). As the nugget increases, more distant samples receive a higher
weight andtaken to the
Hi Niklas,
This is a very good question; in fact one of the participants to my last short
course
asked the same question since he was using ARCview with the option
nugget effect excluded and was surprised to see that his observations were
not honored by the kriging predictions. This is related
Hello,
The nugget effect is usually interpreted as a combination of small-scale
variability and measurement errors. The only way to distinguish between
both is to assess the magnitude of measurement errors in the lab,
e.g. through replication of the measurement on subsamples.
Wherever the
