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Hi, I am Civil Engineering graduate student, I would like to use kriging to obtain the correlation and the surface between 2 laboratory input data and one laboratory result output data. However, I do not have a strong statistics background. I was wondering, if you can give some kind of guidance on what to do.
My problem is about experimental centrifuge soil models, there I can define two input data of the model and then I performed the test and I obtained an output result. The thing is that I do not have a lot of tests (about 20).
Any suggestion on how to start will be really appreciated.
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MuellerSeb commentedon Mar 23, 2021
Could you provide some more information?
If you want to interpolate measured data, kriging is totally fine and you could for example start with this tutorial:
https://geostat-framework.readthedocs.io/projects/pykrige/en/stable/examples/00_ordinary.html#sphx-glr-examples-00-ordinary-py
If you just want to obtain correlation I think you could use variogram estimation provided by GSTools.