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Based on previous discussion with @sathvikbhagavan , derivatives for positive definite kernels (Kriging, Squared exponential functions, etc. is of interest.)
Kernels in the package include:
1. Ra…
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How to deal with the following settings of the krige() function?
nmax, nmin and maxdist?
Mono2 updated
4 years ago
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Hi,
The documentation for [Kriging](https://docs.sciml.ai/Surrogates/stable/surrogate/#Surrogates.RadialBasis-NTuple{4,%20Any}) is confusing. What kind of model is used to calculate the covariance an…
rkube updated
5 months ago
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Hi everyone!
Is it possible to obtain the kriging variance of all the estimated points which composed an interpolated surface. I would like to analyse the uncertainty in the gempy estimation based …
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- [x] check math
- [ ] improve figures with new code
- [x] add overview of kriging types
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I have a practical question about using the **gstat module** to performing interpolation with kriging method.
Using the Python code described in the documentation, I was able to interpolate from the …
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I am a newbie to geostatistics. How can we implement Simple Kriging using pykrige
I didn't find any example in documentation.
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Hi, thanks for this nice smt!
I have a few high Fidelity data, and also many low Fidelity data, then how to build a data-driven Multi-Fidelity Kriging with accurracy validation on high Fidelity da…
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Hi @szymon-datalions
Thank you for your excellent work.
I am a little confused about the Poisson Kriging System in your code.
![image](https://user-images.githubusercontent.com/50231196/115165…
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The gridding code (spec_driver_fits) implements a classic method of gridding, by picking a convolution kernel, and weighing samples by their emprically determined RMS.
Another approach is to study …