Seumas, see few practical points that you may find useful:
1. kriging vs regression: a) kriging honors original data points, while regression does not b) kriging allows to account for anizotropy c) kriging allows to control the influence of the data points 2. Kriging versus other interpolation technics a) Kriging allows to decluster data b) kriging allows to estimate uncertainty of estimation c) kriging allows to use for estimation secondary information from another exhaustive dataset 3. Kriging vs simulations a) Kriging produces smoother version than real distribution, while simulation gives more details b) simulations allow to estimate joint uncertainty, for example probability that values in several adjacent points are above certain level. c) simulation allows to estimate risk of various scenarios - while kriging only shows the most probable one. All the best, Gali Sirkis. > > Hello everyone, > > I apologize if this question is too elementary for > this list; > I want to understand the key differences between > linear regression, > kriging, conditional simulation and other > interpolation techniques such as > IDW or splines in the analyses of spatial data. I > would like to know the > assumptions, strengths and weaknesses of each > method, and when one method > should be preferred to another. I browsed the > archives and looked at some > of the on-line papers, but they are written at a > level beyond my own > current understanding. It seems to me that this > would be a great topic for > the first chapter of an introductory spatial > analysis textbook. Can anyone > recommend any basic textbooks or references on this > topic? > Any assistance you can offer would be appreciated. > > Sincerely, > > Seumas Rogan > > > > > * 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 __________________________________ Do you Yahoo!? All your favorites on one personal page � Try My Yahoo! http://my.yahoo.com
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