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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...
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| Published in: | Environmental modelling & software : with environment data news 2008-02, Vol.23 (2), p.254-255 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c1601-eacc9b9c0f993d77dc41ca870bc51b6f92a50f70676e7dcca67233b9ae19be723 |
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| cites | cdi_FETCH-LOGICAL-c1601-eacc9b9c0f993d77dc41ca870bc51b6f92a50f70676e7dcca67233b9ae19be723 |
| container_end_page | 255 |
| container_issue | 2 |
| container_start_page | 254 |
| container_title | Environmental modelling & software : with environment data news |
| container_volume | 23 |
| creator | Nemes, A. Roberts, R.T. Rawls, W.J. Pachepsky, Ya.A. van Genuchten, M.Th |
| description | 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. |
| doi_str_mv | 10.1016/j.envsoft.2007.05.018 |
| format | article |
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| ispartof | Environmental modelling & software : with environment data news, 2008-02, Vol.23 (2), p.254-255 |
| issn | 1364-8152 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_30984561 |
| source | Elsevier |
| title | Software to estimate −33 and −1500kPa soil water retention using the non-parametric k-Nearest Neighbor technique |
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