Summary
Explanatory modelling of complex systems often leads to subsystems responses which have to be modelled descriptively. Wherever nothing is known about such a response except that it may be expected to depend smoothly on its relevant factors, it can conveniently be modelled by a pseudo-cubic spline function. Necessary data input is a set of empirical response values at factor value combinations, scattered in the domain where the spline is to be used for response prediction. The technique is supported by a portable program toolset. Current applications to seasonal modelling of carbon flux in terrestrial biota are sketched.
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© 1987 Springer Fachmedien Wiesbaden
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Klein, G.H. (1987). Smooth Descriptive Modelling of Multifactorial Systems Responses. In: Möller, D.P.F. (eds) Erwin-Riesch Workshop: System Analysis of Biological Processes. Advances in System Analysis, vol 2. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-663-19445-3_9
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DOI: https://doi.org/10.1007/978-3-663-19445-3_9
Publisher Name: Vieweg+Teubner Verlag, Wiesbaden
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