Converging Discretization

This image shows reconstructions given sparse data, preformed with NIFTy. The white data points are the data, randomly distributed around an unknown Gaussian process, with indicated uncertainty margins. The blue lines correspond to reconstructions of the generating Gaussian process at increasingly fine resolutions. One can see that the reconstructions converge, and further refinement does not lead to new information at some point.