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
Pages :
2
From page :
254
To page :
255
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
Serial Year :
2008
Journal title :
Environmental Modelling and Software
Record number :
958831
Link To Document :
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