Geostatistical Prediction with ordinary kriging Ordinary Kriging is a spatial estimation method where the error variance is minimized. This error variance is called ...

% Note: in this example, for pedagogical purposes, conditioned samplepaths are % simulated in two steps: first, unconditioned samplepaths are simulated; % second, conditioned samplepaths are obtained ...

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, ...

1 School of Urban Construction, Yangtze University, Jingzhou, China. 2 Aeronautics Department, Nanchang Hangkong University, Nanchang, Jiangxi. This research investigates the problem of performing ...

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 ...

Geostatistical techniques are now available to account for spatially varying population sizes and spatial patterns in the mapping of disease rates. At first glance, Poisson kriging represents an ...