Spatial interpolation of point velocities in stream cross-section

Baudin, M., Consortium Scilab - DIGITEO, 2011. Introduction to Scilab. Consortium Scilab - DIGITEO, URL http://forge.scilab.org/index.php/p/docintrotoscilab/downloads/311/.Search in Google Scholar

Bookstein, F., 1989. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Transaction on Pattern Analysis and Machine Intelligence, 11, 6, 567-585.10.1109/34.24792Search in Google Scholar

Clark, I., 2001. Practical Geostatistics. Geostokos limited, Alloa.Search in Google Scholar

ČSN EN ISO 748, 2008. Hydrometrie - Měření průtoku kapalin v otevřených korytech použitím vodoměrných vrtulí a plováků. [Hydrometry - Measurement of liquid flow in open channels using current - meters or floats]. Český normalizační institut, Praha. (In Czech.) Search in Google Scholar

Dyn, N., Levin, D., Rippa, S., 1986. Numerical procedures for surface fitting of scattered data by radial functions. Society for Industrial and Applied Mathematics, 7, 2, 639-659.10.1137/0907043Search in Google Scholar

Fedorov, V., 1987. Kriging and other estimators of spatial field characteristics (with special reference to environmental studies): working paper. IIASA, Laxenburg.Search in Google Scholar

Journel, A.G., Rossi, M.E., 1988. When do we need a trend model? Study on statistics and environmental factors in health (SIMS). Stanford University, Stanford (California).Search in Google Scholar

Madsen, H., van Griensven, A., Hojbjerk, A.L., 2010. Model calibration and validation in model-based water management. In: Vanrolleghem, P.A. (Ed.): Modelling Aspects of Water Framework Directive Implementation. IWA Publishing, London.Search in Google Scholar

Raid, I., Kusnezowa, T., Seewig, J., 2013. Application of ordinary kriging for interpolation of micro-structured technical surfaces. Measurement Science & Technology, 24, 9, 095201.10.1088/0957-0233/24/9/095201Search in Google Scholar

Sanabria, L.A., Qin, X., Li, J., Cechet, R.P., Lucas, C., 2013. Spatial interpolation of McArthur's Forest Fire Danger Index across Australia: Observational study. Environmental Modelling & Software, 50, 37-50.10.1016/j.envsoft.2013.08.012Search in Google Scholar

Starý, M., 2012. Personal communication by email on February 16.Search in Google Scholar

Stošić, B.D., Silva, J.R.S., Filho, M.C., Cantalice, J.R.B., 2012. Optimizing river discharge measurements using Monte Carlo Markov Chain. Journal of Hydrology, 450-451, 199-205.10.1016/j.jhydrol.2012.04.058Search in Google Scholar

Ünal, H.B., Özcakal, E., 2011. Determination of velocity dispersion profiles in open canals using different interpolation methods. Scientific Research and Essays, 6, 15, 3272-3280.Search in Google Scholar

Venables, W.N., Smith, D.M., The R Core Team, 2014. An introduction to R. The R Core Team. URL http://cran.rproject. org/doc/manuals/R-intro.pdf.Search in Google Scholar

Wackernagel, H., 2003. Multivariate Geostatistics: an Introduction with Applications. Springer, Berlin.10.1007/978-3-662-05294-5Search in Google Scholar

Webster, R., Oliver, M.A., 2007. Geostatistics for Environmental Scientists. Second edition. John Wiley & Sons Ltd, Chichester.10.1002/9780470517277Search in Google Scholar

Yao, X., Fu, B., Lü, Y., Sun, F., Wang, S., Liu, M., 2013. Comparison of four spatial interpolation methods for estimating soil moisture in a complex terrain catchment.PLoS ONE, 8, 1, e54660. 10.1371/journal.pone.0054660355300123372749Search in Google Scholar