1852Re: [ai-geostats] Regression vs. Kriging vs. Simulation vs. IDW
- Jan 1, 2005Seumas,
Linear regression : not really an estimation technique for spatial data,
though regression forms some of the basic
theory for the derivation of kriging equations.
Splines : not really an estimation technique, just something
used to make curves smooth on contour plots.
IDW : after polygonal techniques the simplest of spatial
modelling techniques, does not take into
account clustering of data.
Kriging : a spatial modelling technique superior to IDW
when you have reasonable variograms, and
takes into account clustering of data and
instead of using distance to weight samples
uses your variogram (sometimes referred to
as statistical distance).
Conditional simulation: a spatial modelling technique of a special sort.
Where kriging gives you the "best" estimate.
Simulation is used to analyse other possible
outcomes for your sample set, so you can
see the effects if reality varies from the
"best" model. Example use includes planning
for chemical purchases at a metallurgical
plant, so you can plan for variations from
your kriged model should they occur.
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