Title: Optimisation of Interpolation Parameters Using Cross-validation
Publisher: Springer
Publication Year: 2007
JRC N°: JRC43643
ISBN: 978-3-540-36730-7
URI: http://www.springer.com/west/home/geography/gis+cartography?SGWID=4-40421-22-173670320-0
Type: Articles in periodicals and books
Abstract: A number of EU and national policy strategies rely on the use of quality digital elevation model (DEM) data. This chapter tests the reliability and applicability of crossvaliadation in an automatic optimisation of interpolation control parameters on an example of the Regularized Spline with Tension (RST) and elevation data. The input elevation points are derived by random sampling with various densities from grid-based digital elevation models with two different spatial resolutions (25m and 100m). The CV is applied on each sampled set of points to identify the ptimum RST parameters. These parameters are subsequently applied in the interpolation of new surfaces, and their deviations from the original DEMs are analysed.
JRC Directorate:Energy, Transport and Climate

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