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
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