kriging is a basic implementation of kriging, a method of interpolation using Gaussian process regression. kriging supports ordinary kriging and universal kriging (using a polynomial drift term), and ...

A simple example of Kriging Interpolation using Python and NumPy. Kriging Interpolation is a standard interpolation method with primary use in geostatics, providing unbiased linear prediction of ...

As an illustration, consider a hypothetical example in which an organic solvent leaks from an industrial site and spreads over a large area. Assume the solvent is absorbed and immobilized into the ...

Abstract: We extend the basic theory of kriging, as applied to the design and analysis of deterministic computer experiments, to the stochastic simulation setting. Our goal is to provide flexible, ...

Combined economic/emission dispatch (CEED) is generally studied using analytical objective functions. However, for large-scale, high-dimension power systems, CEED problems are transformed into ...

Abstract: We present a method for efficiently fitting a time series of spatial functions to observed data. The method is closely related to kriging, which is an interpolation method based on a ...