Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction
Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction
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Spartan random fields have muitivariate Gibbs probability distributions that are determined from a frugal set of parameters [1]. Thus, they provide a parsimonious model for representing the variability of spatially distributed processes. Potential applications include interpolation and simulation in geostatistical studies as well as methods for compressing large images. Here we develop methods for simulating Spartan fields with pre-determined parameters on regular lattices and at random locations in two spatial dimensions.