Interpolation with explanatory variables

[fmaussion]

Congratulations on the great tool and documentation! It seems to be a very interesting tool.

I haven't looked into the details yet, but the first question that comes to mind is: can your model also take into account one (or more) explanatory variables? As an example, your temperature gridding example would clearly gain from taking elevation into account (here, a close to linear predictor).

My question is related to the field I come from: ice thickness estimation (or interpolation/extrapolation of point ice thickness measurements). In our case, we have several explanatory variables (climate, slope, altitude, etc) that can explain part of the ice thickness at a certain location. Would Verde be a tool for us to look into more detail?

Thanks for your advice!

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[leouieda]

Hi @fmaussion I've been thinking about this a bit lately. Right now, Verde can't handle these extra variables. If I understand correctly, you'd want to add these variables with some sort of linear relationship to the actual data. Is that correct?

How would you want this feature to look like? To help me think of a design for this, could you try to come up with a code example of this feature (as if it existed for the current Spline class)?