## AI-GEOSTATS: Simulation and data

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• 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
Message 1 of 2 , Jun 8, 2003
Dear ai-geostats

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
my question.

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.

Thanks

Joe

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• Hi Joe, After the backtransform, the distribution of simulated values at each node is not Gaussian anymore and its variance can be used as a local index of
Message 2 of 2 , Jun 8, 2003
Hi Joe,

After the backtransform, the distribution of simulated values
at each node is not Gaussian anymore and its variance can be
used as a local index of uncertainty, which accounts for both
the range of surrounding values and their closeness in
terms of data configuration.

Regards,

Pierre Goovaerts

<><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>

Dr. Pierre Goovaerts
President of PGeostat, LLC
Chief Scientist with Biomedware Inc.
710 Ridgemont Lane
Ann Arbor, Michigan, 48103-1535, U.S.A.

E-mail: goovaert@...
Phone: (734) 668-9900
Fax: (734) 668-7788
http://alumni.engin.umich.edu/~goovaert/

<><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><><>

On Mon, 9 Jun 2003, Joe Geo wrote:

> Dear ai-geostats
>
>
> 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
> my question.
>
> 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.
>
> Thanks
>
> Joe
>
> _________________________________________________________________
> Hotmail is now available on Australian mobile phones. Go to
> http://ninemsn.com.au/mobilecentral/signup.asp
>
>
> --
> * To post a message to the list, send it to ai-geostats@...
> * As a general service to the users, please remember to post a summary of any useful responses to your questions.
> * To unsubscribe, send an email to majordomo@... with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list
> * Support to the list is provided at http://www.ai-geostats.org
>

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