Spatial random field models inspired from statistical physics with applications in the geosciences

Dionissios T. Hristopulos

Physica A: Statistical Mechanics and its Applications, 2006, vol. 365, issue 1, 211-216

Abstract: The spatial structure of fluctuations in spatially inhomogeneous processes can be modeled in terms of Gibbs random fields. A local low energy estimator (LLEE) is proposed for the interpolation (prediction) of such processes at points where observations are not available. The LLEE approximates the spatial dependence of the data and the unknown values at the estimation points by low-lying excitations of a suitable energy functional. It is shown that the LLEE is a linear, unbiased, non-exact estimator. In addition, an expression for the uncertainty (standard deviation) of the estimate is derived.

Keywords: Spatial correlation; Excitations; Hamiltonian; Stochastic estimation (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:365:y:2006:i:1:p:211-216

DOI: 10.1016/j.physa.2006.01.037

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