高斯模型与实验半方差变异函数的拟合效果最好，其次是线性模型。
The best fitted theoretical model for the semivariogram is Gaussian model, and then the linear model.
将能量代谢率与出汗率进行指数函数的拟合，得到二者的关系方程。
The regression equation relating metabolic rate and sweat rate was compound function.
传统的方法需要先进行空间变异函数的拟合，然后进行克里格估计。
Traditional methods need to fit the Spatial Variogram and then deal with the kriging estimation.
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