RT Book, Section
T1 Effect Of Noise In The Estimation Of Magnitudes With Spatial Dependence: A Spatial Statistics Technique Based On Kriging
A1 Sánchez Brea, Luis Miguel
A1 Bernabeu Martínez, Eusebio
A2 González, T.
A2 Mateos, J.
A2 Pardo, D.
AB 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.
PB American Institute of Physics (AIP)
SN 0-7354-0267-1
YR 2005
FD 2005
LK https://hdl.handle.net/20.500.14352/53382
UL https://hdl.handle.net/20.500.14352/53382
LA eng
NO © 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.
NO Ministerio de Educación y Ciencia (MEC), España
NO Universidad Complutense de Madrid (UCM)
DS Docta Complutense
RD 14 dic 2025