Software to estimate −33 and −1500kPa soil water retention using the non-parametric k-Nearest Neighbor technique

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 -1500kPa matric potentials and its uncertainty. The user can customize the provided source data collection to accommodate specific local needs. Ad hoc calculat...

Full description

Saved in:
Bibliographic Details
Published in:Environmental modelling & software : with environment data news 2008-02, Vol.23 (2), p.254-255
Main Authors: Nemes, A., Roberts, R.T., Rawls, W.J., Pachepsky, Ya.A., van Genuchten, M.Th
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 -1500kPa 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.
ISSN:1364-8152
DOI:10.1016/j.envsoft.2007.05.018