AI-GEOSTATS: Simulation and data
- Dear ai-geostats
A question about simulation
I understand in the simulation methods SGS that each node the data a kriging
is performed than an value is drawn from a normal distribution with the
local mean (from data and previously simulated nodes captured in a search
neigbourhood) and variance defined by the kriging variance.
My understanding of kriging variance is that this variance is really an
index of data configuration independent of the data values. This leads to
How a set of multiple simulations capture information about the variability
of conditioning data values when the kriging variance is only a data
location index. Specifically, it is possible to have the same conditioning
data configuration but the variability of the values attached to the data
can be quite different. How is this recognised in the simulation process.
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