Timeline for Simple Kriging with linear semivariogram
Current License: CC BY-SA 3.0
15 events
| when toggle format | what | by | license | comment | |
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| Aug 26, 2015 at 13:50 | answer | added | Edzer Pebesma | timeline score: 1 | |
| Jun 1, 2015 at 22:12 | comment | added | whuber♦ | Cressie, Statistics for Spatial Data, is now a classic reference. | |
| Jun 1, 2015 at 21:59 | comment | added | Vishal Anand | @whuber What textbook would you suggest? Thank you so much for the help! | |
| Jun 1, 2015 at 21:58 | comment | added | whuber♦ | It's just like the Ordinary Kriging system but without the Lagrange multipliers. Much of the online material on kriging is awful--you have to search hard to find anything good--so it's usually better to consult one of the more reputable textbooks. The material from NKU at ceadserv1.nku.edu/longa//modules/geostats/lec/latex2html/… seems good, though. | |
| Jun 1, 2015 at 21:53 | comment | added | Vishal Anand | @whuber That is very true. And hence I put up this question, since the Kriging tutorials ask to create a semivariogram and then construct a covariogram Page6, after which the covariance matrix is constructed. When a new point is to be interpolated(kriged), this matrix is used for finding the value at the given point. Thus, how does one calculate the $\sigma (0)$ for the covariogram computation. I could not search for any online references to this; I will be really thankful for your answer to this. | |
| Jun 1, 2015 at 21:40 | history | reopened | whuber♦ | ||
| Jun 1, 2015 at 21:40 | comment | added | whuber♦ | There is no sill: that is the entire point of using variograms instead of covariance functions. In the absence of any nugget effect or measurement error, necessarily $\gamma(0)=0$ and the variogram has the form $\gamma(h)=\rho h$ for some positive $\rho$. | |
| Jun 1, 2015 at 21:34 | history | edited | Vishal Anand | CC BY-SA 3.0 |
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| Jun 1, 2015 at 21:33 | comment | added | Vishal Anand | @whuber Edited the question. I have evaluated the linear variogram (slope, nugget = $\gamma (0)$). But with the evaluated variogram, I am not able to find the sill to be used for evaluating the covariogram (mentioned in the question); as a result of which I can not find the value of $\sigma(0)$, which is the sill (it $\to \infty$ for linear semivariograms). | |
| Jun 1, 2015 at 21:29 | history | edited | Vishal Anand | CC BY-SA 3.0 |
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| Jun 1, 2015 at 21:16 | history | closed | whuber♦ | Needs details or clarity | |
| Jun 1, 2015 at 21:16 | comment | added | whuber♦ | The nature of this question is not apparent. Is it about estimating the slope and nugget of the variogram, cross-validating the variogram, choosing appropriate search procedures, setting up the kriging equations, solving the kriging equations, or something else? Please edit this post to explain what you mean by "developing." | |
| Jun 1, 2015 at 20:06 | history | edited | Vishal Anand | CC BY-SA 3.0 |
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| Jun 1, 2015 at 20:03 | review | First posts | |||
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| Jun 1, 2015 at 19:56 | history | asked | Vishal Anand | CC BY-SA 3.0 |