Sánchez Brea, Luis MiguelBernabeu Martínez, EusebioGonzález, T.Mateos, J.Pardo, D.2023-06-202023-06-2020051. R. Christiensen, Linear Models for Multivariate, Time Series, and Spatial Data, Springer-Verlag, Berlin, 1985. 2. N. Cressie, Statistics for Spatial Data, John Wiley & Sons, New York, 1991. 3. J.P. Chilès, P. Delfiner, Geostatistics: Modeling Spatial Uncertainty, John Wiley & Sons, New York, 1999. 4. D. Mainy, J.P. Nectoux, D. Renard, Mat. Charact., 36, 327-334 (1996). 5. E. Bernabéu, I. Serroukh, L.M. Sánchez-Brea Opt. Eng., 38, 1319-1325 (1999). 6. W. H. Press, S. A. Teukolski, W. T. Vetterling, B.P. Flannery, Numerical Recipes in C, Cambridge University Press, New York, 1992. 7. L.M. Sánchez-Brea, E. Bernabéu, Appl. Opt, (in press). 8. W.Y.V. Leung, P.J. Bones, R.G. Lane, Opt. Eng., 40, 547-553 (2001). 9. T.D. Pham, M. Wagner, Int. J. Pattern Recogn., 14, 1025-1038, (2000). 10. "Guide to the Expression of the Uncertainty in Measurement", International Standardisation Organisation (ISO), Geneva, 1995. 11. P. Bevington, Data Reduction and Error Analysis for the Physical Sciences, McGraw-Hill, New York (1969). 12. L.M. Sánchez-Brea, E. Bernabéu, J. Electron. Imaging, 11, 121-126, (2002).0-7354-0267-110.1063/1.2036872https://hdl.handle.net/20.500.14352/53382© 2005 American Institute of Physics. International Conference on Noise and Fluctuations (18ª. 2005. Salamanca, España). Sanchez-Brea is currently contracted by the Universidad Complutense de Madrid under the "Ramón y Cajal" research program.Kriging is a family of linear methods for the estimation of physical quantities with spatial dependence which are optimal in the squared minima sense. To perform the interpolation, kriging considers, in addition to the value and location of the observations, the spatial correlation of the quantity by means of variogram, the random fluctuations of the measured magnitude and the resolution of the measuring devices. The traditional way kriging equations are solved involves the resolution of inverse of great matrices, so that it is normally quite time consuming. Comparing the uncertainty obtained with kriging (for magnitudes with spatial dependence) with standard techniques for uncertainty estimation, we have seen that for the case of regular sampling, the uncertainty estimation can be computed as a convolution.engbook parthttp://dx.doi.org/10.1063/1.2036872http://scitation.aip.orgopen access535ImagesÓptica (Física)2209.19 Óptica Física