Testing the data quality of a GIS database by bootstrap methods and other nonparametric statistics

F. Crosilla; G. Pillirone

doi:10.1117/12.182854

17 August 1994 Testing the data quality of a GIS database by bootstrap methods and other nonparametric statistics

F. Crosilla, G. Pillirone

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182854
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

Abstract

This paper describes a procedure, based on non-parametric statistics, for testing the data quality of a G.I.S. The procedure compares the contents of a database with a sample of control values captured on field and tests the hypothesis of no difference between the two samples, by the application of the Wilcoxon rank-sum test. The alternative hypothesis of the test is explicitly considered in order to evaluate the power function and the sensitivity of the test. Power formulas for the Wilcoxon test require some quantities to be estimated, and this is done by bootstrap techniques. The main advantage of the proposed procedure is the optimization of the number of control points required, since the sample size needed for the achievement of a certain sensitivity level is computed with the power function.

Citation Download Citation

F. Crosilla and G. Pillirone "Testing the data quality of a GIS database by bootstrap methods and other nonparametric statistics", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182854

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