Title of article :
Software to estimate 33 and 1500 kPa soil water retention
using the non-parametric k-Nearest Neighbor technique
Author/Authors :
A. Nemes a، نويسنده , , b، نويسنده , , *، نويسنده , , R.T. Roberts c، نويسنده , , W.J. Rawls c، نويسنده , , Ya.A. Pachepsky d، نويسنده , , M.Th. van Genuchten، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2008
Abstract :
A computer tool has been developed that uses a k-Nearest Neighbor (k-NN) lazy learning algorithm to estimate soil water retention at 33
and 1500 kPa matric potentials and its uncertainty. The user can customize the provided source data collection to accommodate specific local
needs. Ad hoc calculations make this technique a competitive alternative to publish pedotransfer equations, as re-development of such equations
is not needed when new data become available.
Keywords :
K-nearest neighbor , Soil water retention , field capacity , Wilting point , Pedotransfer function , Uncertainty , Bootstrap
Journal title :
Environmental Modelling and Software
Journal title :
Environmental Modelling and Software