Sebastiano
You will be fine so long as you actually have a "stationary" phenomenon. That is, there is a constant mean and standard deviation over your study area -- no trends, no discontinuities, no changes of behaviour. Such a transformation also assumes that your data follow a fairly symmetrical histogram.
Your semi-variogram will look exaclty the same as your 'raw' data semi-variogram but should have a sill around 1.
Isobel
http://www.kriging.com
Sebastiano Trevisani <[EMAIL PROTECTED]> wrote:
Sebastiano Trevisani <[EMAIL PROTECTED]> wrote:
Dear list member
A procedural question for you.......
I'm thinking to transform my data in a standardized anomaly [i.e.
(raw datum- sample average)/sample standard deviation)] and then I`ll
perfom the geostatistical analysis on these transformed data. At
first glance, I don't see problem in the back-transformation of
interpolated data and in the correct evaluation of estimation
variance. Am I wrong?
Sincerely
Sebastiano
+
+ To post a message to the list, send it to [email protected]
+ To unsubscribe, send email to majordomo@ jrc.it with no subject and "unsubscribe ai-geostats" in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list
+ As a general service to list users, please remember to post a summary of any useful responses to your questions.
+ Support to the forum can be found at http://www.ai-geostats.org/
