Optimisation of interpolation parameters using cross-validation

被引:31
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Lect. Notes Geoinformation Cartogr. | 2007年 / 9783540367307卷 / 67-82期
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21;
D O I
10.1007/978-3-540-36731-4_3
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摘要
Quality of data used in the GIS-support tools is a critical issue, as the decisions that affect locations or areas are to be made effectively, in time and with adequate accuracy. At present, a number of European Union and national policy strategies rely on the use of quality digital elevation model (DEM) data. The accuracy, smoothness and representativeness are properties of DEM determining outputs of the support systems that are designed for assessment of renewable energy resources, flood forecasting, disaster and security management. Similarly, suitability analysis, calculating of environmental indicators and water quality monitoring within the catchments are based on the use of DEM and the decisions taken have financial and legal implications. Thus, a prerequisite for full exploitation of the potential of DEMs is to make them available for the community at sufficient accuracy and detail for a variety of applications. © 2007, Springer-Verlag Berlin Heidelberg.
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页码:67 / 82
页数:15
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  • [1] Abramowitz M., Stegun I.A., Handbook of mathematical functions. Dover, New York, (1964)
  • [2] Cebecauer T., Hofierka J., Suri M., Processing digital terrain models by regularized spline with tension: Tuning interpolation parameters for different input datasets, Proceedings of the Open Source Free Software GIS GRASS Users Conference 2002, (2002)
  • [3] Custer G.S., Farnes P., Wilson J.P., Snyder R.D., A comparison of handand spline-drawn precipitation maps for Mountainous Montana, Water Resources Bulletin, 32, pp. 393-405, (1996)
  • [4] Duchon J., Interpolation des fonctions de deux variables suivant le principe de la flexion des plaques minces: R.A.I.R.O, Analysis Numerique, 10, pp. 5-12, (1976)
  • [5] Franke R., Thin plate spline with tension, Computer Aided Geometrical Design, 2, pp. 87-95, (1985)
  • [6] Geographic Resources Analysis Support System, (2000)
  • [7] Hancock P.A., Hutchinson M.F., An iterative procedure for calculating minimum generalised cross validation smoothing splines, Australian and New Zealand Industrial and Applied Mathematics Journal, 44, pp. 290-312, (2003)
  • [8] Hofierka J., Interpolation of Radioactivity Data Using Regularized Spline with Tension., (2005)
  • [9] Hofierka J., Parajka J., Mitasova H., Mitas L., Multivariate interpolation of precipitation using regularized spline with tension, Transactions in GIS, 6, pp. 135-150, (2002)
  • [10] Hutchinson M.F., Interpolation of rainfall data with thin plate smoothing splines: I. Two dimensional smoothing of data with short range correlation, Journal of Geographic Information and Decision Analysis, 2, pp. 152-167, (1998)