When comparing kriging versus regression, I meant using linear regression between sparse and exhaustive datasets to interpolate the sparse one, since as Digbi Milligan pointed out in general case regression is not an estimation method.
--- Gali Sirkis <[EMAIL PROTECTED]> wrote: > 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 > > > * 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!? Send a seasonal email greeting and help others. Do good. http://celebrity.mail.yahoo.com
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