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## GEOSTATS: Re:

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• Not being familiar with landmines, other than the fact that they can maim or kill, I would wish that a bit more detail had been provided, since a majority of
Message 1 of 3 , Feb 3, 2000
Not being familiar with landmines, other than the fact that
they can maim or kill, I would wish that a bit more detail had
been provided, since a majority of the readers can come from
fields as diverse and arcane as pig husbandry and the
population control of fruit bats. To wit:

i. What is being mapped, and what is the potential impact of
such maps on, e.g. human lives, if any?

ii. What is a contaminant? How different is this from a plain
vanilla landmine? Or are they one and the same thing?

Are you trying to map the probabilities that a certain "contaminant"
can exceed a certain level at discrete points in your region of
interest? Perhaps a non-parametric method (indicator kriging) could
be of use. Or are you trying to predict the probability that a landmine
exists at a particular location (a binary on/off variable)? It is mentioned
that the populations studied can be 1000 m2 or 1 million m2. Are these
volumes of measurements? Areal expanse? What is a sample size
of nearly "100%"?

Syed

Wilkinson Ms E <E.Wilkinson@...> on 02/04/2000 12:28:43 AM

To: "'ai-geostats@...'"
<ai-geostats@...>

cc: (bcc: Syed Abdul Rahman/SINGPROD1/Landmark)

Subject:

As a new recruit in the world of Geo-statistics, I feel a bit unsure on
what question to ask first.

I am currently working on a project to evaluate the safety of landmine
fields. I am therefore mainly interested in the estimation of the completely
unknown "contamination" level of the field. The variable of interest is discrete
(landmines) and the populations I will study range from 1000 m2 to 100 million
m2.

I have approached the issue by classical random sampling methods (somehow
inconvenient, but feasible). Unfortunately, to ensure with reasonable confidence
rates of contamination as low as 10-8, I face sample sizes of nearly 100%.

What can I do? Can someone help me with the following questions:
1. How can I tackle this problem of extremely low rates of contamination?
2. Will Bayesian methods be of any use ? And what books can you recommend
(easy reading please!)
3. What about Kriging? I know nothing about it yet, but is it worth
exploring?

Many thanks,

Edith

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