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

نویسندگان

  • Attila Nemes
  • R. T. Roberts
  • Walter J. Rawls
  • Yakov A. Pachepsky
  • M. Th. van Genuchten
چکیده

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. 2007 Elsevier Ltd. All rights reserved.

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عنوان ژورنال:
  • Environmental Modelling and Software

دوره 23  شماره 

صفحات  -

تاریخ انتشار 2008