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References
Burrough, P.A. and McDonnell, R.A. (1998) Principles of Geographical Information Systems, Oxford University Press
Chiles, J.P., Delfiner, P. (1999) Geostatistics, Modeling Spatial Uncertainty, Wiley, New York
Cressie, N.A.C. (1991) Statistics for Spatial Data, Wiley, New York
Green and Yandell (1985) Semi-parametric generalised linear models
Haemmerlin, G., Hoffmann, K.H. (1992) Numerische Mathematik, Springer Verlag, Berlin
Hastie, T.J., Tibshirani R.J. (1990) Generalised Additive Models, Chapman and Hall, London
Horiwitz et al. (1996) Fast multidimensional Interpolation. 26th Proceedings of the Applications of Computers and Operations Research in Mining Industry.
Journal, A.G. and Huijbregts, Ch. J. (1978) Mining Geostatistics, Academic Press
Kent, J.T., Mardia K.V. (1994) The Link between Kriging and Thin-plateSpline
Krige, D.G. (1951) A statistical approach to some basic mine valuation problems on the Witwatersrand. Jornal of the Chemical, Metallurgical and Mining Society of South Africa, 52, 119–139.
Matheron, G. (1965) Les Variables Regionalisées et leur estimation, Mason, Paris
Nychka, D. (2000) Spatial Process Estimates as Smoothers. Smoothing and Regression, Schimeck, M. (ed.), Wiley, New York
Reinsch, C. (1967) and (1970) Smoothing by spline functions I, II. Numerical Mathematics.
Stoer, J. (1983) Einfuehrung in die Numerische Mathematik, Springer Verlag, Berlin
Wahba G. (1990) Spline Models for Observational Data, Society for Industrial and Applied Mathematics, Philadelphia, PA
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Pluch, P. (2009). Kriging and Splines: Theoretical Approach to Linking Spatial Prediction Methods. In: Pilz, J. (eds) Interfacing Geostatistics and GIS. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-33236-7_4
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