## AI-GEOSTATS: neighbourhood

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• dear list when I define for example a lag size = 10 m and the lag number = 10, the maximum distance which I read on the x axis of semi-variogram value is
Message 1 of 3 , Apr 7 4:50 AM
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dear list

when I define for example a lag size = 10 m and the lag number = 10, the maximum distance which I read on the x axis of semi-variogram value is 100m, the last value what point out?

which weight has the neighbourhood in the kriging interpolation after that I have defined all the parameters necessary to estimate the variogram ? And can I define it?

Best regards

ines

[Non-text portions of this message have been removed]
• Ines, don t expect many replies on this one. I m strongly inviting you (again) to read the manual of the software and to learn the essential vocabulary used in
Message 2 of 3 , Apr 7 6:54 AM
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Ines,

don't expect many replies on this one. I'm strongly inviting you (again)
to read the manual of the software and to learn the essential vocabulary
used in geostatistics.
It is a bit of a jargon but you will need it to understand the replies.

You can learn the essential vocabulary and concept by using variowin
and/or Geoeas (check the software section of www.ai-geostats.org )

A manual of variowin is available from
http://sal.agecon.uiuc.edu/csiss/pdf/variowin.pdf

Check also geoeas for the part on kriging (variowin doesn't go that
far).

Lag size = mean separation distance between pairs of points (plus/minus
a tolerance on the distance since you most probably will not have
samples separated by exactly 10 meters). If you don't know what I mean
with pairs of points, then please check variowin's manual (or the FAQ I
have mentioned earlier) .

Lag number = the number of points you want on your experimental
semivariogran. If you select 10, you will have 10 points. The last point
of your experimental semivariogram is then

10 (number of lags) x 10 (lag distance) meters = 100 meters. Hence the

The last lag will contain all the pairs separated by 100 meters. The 9th
point will correspond to pairs seperated by 90 meters, etc.

Neighbours: you can search neighbours in different ways: by defining a
number of nearest points, by defining a circle (define a length of a
radius) or even an elipse (you have to define the shortest and longest

Interpolating data is not something you can do without thinking twice
and without experience. If you don't want to learn all these concepts
(or don''t have the time to) but still have to do the maps, I would
recommend you to use something less complex like the inverse weithed
distance interpolator. In any case make sure you understand what you did
to be able to understand the output (the map).
In any case don't use a black box approach, even if the results may
"look nicer". This is a very personal opinion of course but I believe it
is shared by most practitioners.

Gregoire

-----Original Message-----
From: ai-geostats-list@... [mailto:ai-geostats-list@...] On
Behalf Of Ines
Sent: 07 April 2004 13:50
To: ai-geostats@...
Subject: AI-GEOSTATS: neighbourhood

dear list

when I define for example a lag size = 10 m and the lag number = 10, the
maximum distance which I read on the x axis of semi-variogram value is
100m, the last value what point out?

which weight has the neighbourhood in the kriging interpolation after
that I have defined all the parameters necessary to estimate the
variogram ? And can I define it?

Best regards

ines

[Non-text portions of this message have been removed]
• http://honeybee.helsinki.fi/GIS/y196/Using_ArcGIS_Geostat_Anal_Tutor.pdf I hope it helps, Koen. ... -- * To post a message to the list, send it to
Message 3 of 3 , Apr 7 9:57 AM
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http://honeybee.helsinki.fi/GIS/y196/Using_ArcGIS_Geostat_Anal_Tutor.pdf

I hope it helps,
Koen.

On Wed, 7 Apr 2004 13:50:21 +0200, Ines <ialberic@...> wrote:

> dear list
>
>
>
> when I define for example a lag size = 10 m and the lag number = 10, the maximum distance which I read on the x axis of semi-variogram value is 100m, the last value what point out?
>
>
>
> which weight has the neighbourhood in the kriging interpolation after that I have defined all the parameters necessary to estimate the variogram ? And can I define it?
>
> Radius and numbers of neighbour?
>
>
>
>
>
> Best regards
>
> ines
>
>
>

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