Measurement artefacts and inhomogeneity detection ETC/ACM Technical Paper 2011/8

06 Dec 2011

For outlier (type I) detection the moving window (whole window) test showed very good results on performance and robustness. For the structural changes (type II) it was not as clear as for the outliers. The most promising method was the moving average filter with a tendency to over-detection. However, the visual checks of the method’s results indicated that the detection method of the extremes in variance of the window averages (which is the indicator for a structural change) could be improved and might reduce the over-detection. Further tests are recommended to develop a more robust method which can be used for automatic inhomogeneity detection.

Reference to R-scripts, data and other materials used for the calculations:

Prepared by: Lydia Gerharz, Benedikt Gräler, Edzer Pebesma (IfGI, Uni. Münster, Germany) under subcontract of ETC/ACM Consortium institute RIVM.

Published by: ETC/ACM, December 2011, 54 pp.