Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/14391
Title: | Correcting the smoothing effect of estimators: A spectral postprocessor |
Authors: | Journel, A. G. Mao, S. Kyriakidis, Phaedon |
Major Field of Science: | Engineering and Technology |
Field Category: | Civil Engineering |
Keywords: | Conditional bias;Kriging;Local accuracy;Spectral amplitudes;Stochastic simulation |
Issue Date: | 1-Jan-2000 |
Source: | Mathematical Geology, Volume 32, Issue 7, 2000, Pages 787-812 |
Volume: | 32 |
Issue: | 7 |
Journal: | Mathematical Geology |
Abstract: | The postprocessing algorithm introduced by Yao for imposing the spectral amplitudes of a target covariance model is shown to be efficient in correcting the smoothing effect of estimation maps, whether obtained by kriging or any other interpolation technique. As opposed to stochastic simulation, Yao's algorithm yields a unique map starting from an original, typically smooth, estimation map. Most importantly it is shown that reproduction of a covariance/semivariogram model (global accuracy) is necessarily obtained at the cost of local accuracy reduction and increase in conditional bias. When working on one location at a time, kriging remains the most accurate (in the least squared error sense) estimator. However, kriging estimates should only be listed, not mapped, since they do not reflect the correct (target) spatial autocorrelation. This mismatch in spatial autocorrelation can be corrected via stochastic simulation, or can be imposed a posteriori via Yao's algorithm. |
URI: | https://hdl.handle.net/20.500.14279/14391 |
ISSN: | 08828121 |
DOI: | 10.1023/A:1007544406740 |
Type: | Article |
Affiliation : | Stanford University |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
CORE Recommender
Sorry the service is unavailable at the moment. Please try again later.
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.