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

URI	http://purl.tuc.gr/dl/dias/FFDF8219-E0EE-4E39-96D8-23B17CEC6701	-
Identifier	https://doi.org/10.1016/j.physa.2006.01.037	-
Language	en	-
Extent	5 pages	en
Title	Spatial random field models inspired from statistical physics with applications in the geosciences	en
Creator	D.T. Hristopulos	en
Content Summary	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	en
Type of Item	Peer-Reviewed Journal Publication	en
Type of Item	Δημοσίευση σε Περιοδικό με Κριτές	el
License	http://creativecommons.org/licenses/by/4.0/	en
Date of Item	2015-09-25	-
Date of Publication	2006	-
Bibliographic Citation	D.T. Hristopulos, " Spartan spatial random field models inspired from statistical physics with applications in the geosciences " , Physi. A: Stati. Mech. and its Ap.,vol. 365,no. 1-2,pp. 211-216,2006.doi:10.1016/j.physa.2006.01.037	en

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