文献类型： 外文期刊
作者： Cao Hong-xin 1 ; Hanan, Jim Scott 2 ; Liu Yan 1 ; Liu Yong-xia 1 ; Yue Yan-bin 1 ; Zhu Da-wei 1 ; Lu Jian-fei 4 ; Sun Jin 1 ;
作者机构： 1.Jiangsu Acad Agr Sci, Inst Agr Econ & Informat, Engn Res Ctr Digital Agr, Nanjing 210014, Peoples R China
2.Univ Queensland, Ctr Biol Informat Technol, Indooroopilly, Qld 4068, Australia
3.Nanjing Agr Univ, Agron Coll, Nanjing 210095, Jiangsu, Peoples R China
4.Yangzhou Univ, C
关键词： crop models;validation methods;comparison
期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：2.848； 五年影响因子：2.979 ）
ISSN： 2095-3119
年卷期： 2012 年 11 卷 8 期
页码：
收录情况： SCI
摘要： In this paper, the many indices used in validation of crop models, such as RMSE (root mean square errors), S-d (standard error of absolute difference), d(a) (mean absolute difference), d(ap) (ratio of d(a) to the mean observation), r (correlation), and R-2 (determination coefficient), are compared for the same rice architectural parameter model, and their advantages and disadvantages are analyzed. A new index for validation of crop models, d(ap) between the observed and the simulated values, is proposed, with d(ap)<5% as the suggested standard for precision of crop models. The different kinds of validation methods in crop models should be combined in the following aspects: (1) calculating d(a) and d(ap); (2) calculating the RMSE or S-d; (3) calculating r and R-2, at the same time, plotting 1:1 diagram.
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