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克里金插值和条件模拟作为两种常用的空间变异近似和逼近方法,能否真实刻画要素的多尺度结构关系到相应结论的正确性。本文采用尺度方差分析方法,结合经典的半方差函数和Moran’s I,以伊犁新垦区土壤有机质为例,对普通克里金插值(OK)和序贯高斯模拟(SGS)的结果进行多尺度分析。结果显示新垦区土壤有机质具有比较强的空间自相关性,10 km、35 km和60 km左右为土壤有机质的特征尺度。在小尺度上,SGS对真实的空间数据尺度结构刻画都出现一定的偏差。在大尺度上,两者能够比较真实地反映数据的多尺度结构,可有效刻画35 km和60 km的特征尺度。
Kriging interpolation and conditional simulation, as two commonly used methods of spatial variation approximation and approximation, can truly describe the multi-scale structure of the elements and the correctness of the corresponding conclusions. In this paper, we use the method of scale analysis of variance and the classical semivariance function and Moran’s I to make multi-scale analysis of the results of ordinary kriging interpolation (OK) and sequential Gaussian simulation (SGS) using the soil organic matter in the new reclamation area of Yili. The results showed that the soil organic matter in the new reclamation area had relatively strong spatial autocorrelation, and the features of soil organic matter were about 10 km, 35 km and 60 km. At the small scale, SGS shows a certain deviation from the real spatial data scale structure description. On a large scale, the two can more accurately reflect the multi-scale structure of the data and effectively characterize the features of 35 km and 60 km.