[ai-geostats] gslib and simulations with 5 categories
Hi I have 1 categorical variable (transmissivity), with 5 possible outcomes s=1,2,3,4,5 from very low to very high. I have already created simulations with sisim, but i need now to create simulations with 2 outcomes:high and low, but at the same time using the informations i have and then i don't want to give the 1,2 to low and 3,4,5 to high. I would like to know how if it is possible. Thanks Gianni * 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 [EMAIL PROTECTED] Signoff ai-geostats
RE: [ai-geostats] gslib and simulations with 5 categories
Hi, Just perform the new coding outside Gslib. Excel should do it. Pierre -Original Message- From: gianni [mailto:[EMAIL PROTECTED] Sent: Wed 5/4/2005 6:06 AM To: ai-geostats@unil.ch Cc: Subject: [ai-geostats] gslib and simulations with 5 categories Hi I have 1 categorical variable (transmissivity), with 5 possible outcomes s=1,2,3,4,5 from very low to very high. I have already created simulations with sisim, but i need now to create simulations with 2 outcomes:high and low, but at the same time using the informations i have and then i don't want to give the 1,2 to low and 3,4,5 to high. I would like to know how if it is possible. Thanks Gianni * 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 [EMAIL PROTECTED] Signoff ai-geostats
[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
[EMAIL PROTECTED]
-
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[ai-geostats] geostatistics and Kalman filter
Dear list members Could you give a brief and general explanation on use and importance of Kalman Filter in geostatistics? Ercan __Do You Yahoo!?Tired of spam? Yahoo! Mail has the best spam protection around http://mail.yahoo.com * 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 [EMAIL PROTECTED] Signoff ai-geostats
