- It's me again!...:-))

My problem now is:

about a quasi-stationary framework...

Assume Z(x) is not exactly stationary but its mean varies weakly in the space...

Thus E[Z(x)]=m(x)...let's consider a new variable, said residual, Y(x)=Z(x)-m(x), with zero mean.

Variogram for Z(x) is

(1) 2*Gamma(x)=E{[Z(x)-Z(x+h)]^2}-[m(x)-m(x+h)]^2

At this point the book says "...and it's easy to realize how variogram of Y(x) is exactly the same of (1)..." How??!?!?!?

I tried everything but I did not manage to obtain the same result....

Anyone helping me?

Thanks as always

Simone

-----------------------------

Dr. Simone Sammartino

PhD student

- Geostatistical analyst

- G.I.S. mapping

I.A.M.C. - C.N.R.

Geomare-Sud section

Port of Naples - Naples

marenostrum@...

-----------------------------

____________________________________________________________

6X velocizzare la tua navigazione a 56k? 6X Web Accelerator di Libero!

Scaricalo su INTERNET GRATIS 6X http://www.libero.it - The variogram is only the difference between the absolute values of the

grade, so if you

subtract the mean from every z(x), you will still have the same variogram?

----- Original Message -----

From: "Simone Sammartino" <marenostrum@...>

To: "Geostat newsgroup" <ai-geostats@...>

Sent: Wednesday, May 04, 2005 11:36 PM

Subject: [ai-geostats] A quasi-stationary framework...

It's me again!...:-))

My problem now is:

about a quasi-stationary framework...

Assume Z(x) is not exactly stationary but its mean varies weakly in the

space...

Thus E[Z(x)]=m(x)...let's consider a new variable, said residual,

Y(x)=Z(x)-m(x), with zero mean.

Variogram for Z(x) is

(1) 2*Gamma(x)=E{[Z(x)-Z(x+h)]^2}-[m(x)-m(x+h)]^2

At this point the book says "...and it's easy to realize how variogram of

Y(x) is exactly the same of (1)..." How??!?!?!?

I tried everything but I did not manage to obtain the same result....

Anyone helping me?

Thanks as always

Simone

-----------------------------

Dr. Simone Sammartino

PhD student

- Geostatistical analyst

- G.I.S. mapping

I.A.M.C. - C.N.R.

Geomare-Sud section

Port of Naples - Naples

marenostrum@...

-----------------------------

____________________________________________________________

6X velocizzare la tua navigazione a 56k? 6X Web Accelerator di Libero!

Scaricalo su INTERNET GRATIS 6X http://www.libero.it

--------------------------------------------------------------------------------

>* By using the ai-geostats mailing list you agree to follow its rules

> ( see http://www.ai-geostats.org/help_ai-geostats.htm )

>

> * To unsubscribe to ai-geostats, send the following in the subject or in

> the body (plain text format) of an email message to sympa@...

>

> Signoff ai-geostats - Thank you for reply but I wanted to understand it in a pure formal mathematical framework...

Simone

> The variogram is only the difference between the absolute values of the

-----------------------------

> grade, so if you

> subtract the mean from every z(x), you will still have the same variogram?

>

> ----- Original Message -----

> From: "Simone Sammartino" <marenostrum@...>

> To: "Geostat newsgroup" <ai-geostats@...>

> Sent: Wednesday, May 04, 2005 11:36 PM

> Subject: [ai-geostats] A quasi-stationary framework...

>

>

> It's me again!...:-))

> My problem now is:

> about a quasi-stationary framework...

> Assume Z(x) is not exactly stationary but its mean varies weakly in the

> space...

> Thus E[Z(x)]=m(x)...let's consider a new variable, said residual,

> Y(x)=Z(x)-m(x), with zero mean.

> Variogram for Z(x) is

> (1) 2*Gamma(x)=E{[Z(x)-Z(x+h)]^2}-[m(x)-m(x+h)]^2

> At this point the book says "...and it's easy to realize how variogram of

> Y(x) is exactly the same of (1)..." How??!?!?!?

> I tried everything but I did not manage to obtain the same result....

> Anyone helping me?

> Thanks as always

> Simone

>

>

> -----------------------------

> Dr. Simone Sammartino

> PhD student

> - Geostatistical analyst

> - G.I.S. mapping

> I.A.M.C. - C.N.R.

> Geomare-Sud section

> Port of Naples - Naples

> marenostrum@...

> -----------------------------

>

>

>

> ____________________________________________________________

> 6X velocizzare la tua navigazione a 56k? 6X Web Accelerator di Libero!

> Scaricalo su INTERNET GRATIS 6X http://www.libero.it

>

>

>

>

>

>

> --------------------------------------------------------------------------------

>

>

> >* By using the ai-geostats mailing list you agree to follow its rules

> > ( see http://www.ai-geostats.org/help_ai-geostats.htm )

> >

> > * To unsubscribe to ai-geostats, send the following in the subject or in

> > the body (plain text format) of an email message to sympa@...

> >

> > Signoff ai-geostats

>

>

>

>

Dr. Simone Sammartino

PhD student

- Geostatistical analyst

- G.I.S. mapping

I.A.M.C. - C.N.R.

Geomare-Sud section

Port of Naples - Naples

marenostrum@...

-----------------------------

____________________________________________________________

6X velocizzare la tua navigazione a 56k? 6X Web Accelerator di Libero!

Scaricalo su INTERNET GRATIS 6X http://www.libero.it