Comparison of Statistic Methods for Evaluating Crop Model Performance
2012
Kim, J.H., National Institute of Crop Science, RDA, Suwon, Republic of Korea | Lee, C.K., National Institute of Crop Science, RDA, Suwon, Republic of Korea | Shon, J.Y., National Institute of Crop Science, RDA, Suwon, Republic of Korea | Choi, K.J., National Institute of Crop Science, RDA, Suwon, Republic of Korea | Yoon, Y.H., National Institute of Crop Science, RDA, Suwon, Republic of Korea
The objective of this short communication is to introduce several evaluation methods to crop model users because the evaluation of crop model performance is an important step to develop or select crop model. In this paper, mean error, mean absolute error, index of agreement, root mean square error, efficiency of model, accuracy factor and bias factor were explained and compared in terms of dimension and observed number. Efficiency of model and index of agreement are dimensionless and independent of number of observation. Relative root mean square, accuracy factor and bias factor are dimensionless and not independent of number of observation. Mean error and mean absolute error are affected by dimension and number of observation.
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