Benjamin Murphy

Thanks for the insight, @whdc. Definitely going to become problematic for big datasets (my datasets are always small so I keep forgetting to think about scaling!), so we'll at least...

I've been thinking about this, and to my knowledge taking into account heterogeneous data errors (or even a specific uniform error) isn't clearly defined in the usual math behind kriging....

Sorry for the slow response on this, @MuellerSeb. I wouldn't necessarily call it a bug (since I think the kriging system is happy solving for the drift terms in any...

Yeah, this is a really good idea. Maybe we could implement an option for no output, printed output, or log output. Definitely something good for v2.

This looks good to me, and shouldn't be too hard to implement for arbitrary dimensions. At one point, @rth had suggested refactoring the rotation/scaling into a general 'anisotropy transformation' that...

Thanks for taking this on, @MuellerSeb! A few quick thoughts on this... The tools for variogram estimation/modeling/etc in PyKrige are admittedly underdeveloped, so relying on your efforts in GSTools would...

Sorry for not commenting on this sooner. The linear and power variogram models in PyKrige aren't stationary as defined, and so I suppose then they're not true covariance functions (if...