论文标题
在Aitchison几何形状中，用于土壤纹理数据的新型介绍程序，用于构图数据
A novel dowscaling procedure for compositional data in the Aitchison geometry with application to soil texture data
论文作者
论文摘要
在这项工作中，我们提出了一种基于Aitchison几何形状的组成量的新型降压程序。该方法能够自然考虑组成约束，即单位 - 和阳性。我们表明该方法可以用于块顺序高斯模拟框架中，以评估缩小量的变异性。最后，为了验证该方法，我们在理想化的情况下首先对其进行测试，然后将其应用于更现实的案例研究中的数字土壤图的缩小。现实案例研究的数字土壤图是从土壤格里德斯获得的，这是一种基于最先进的空间预测方法的自动土壤映射系统。
In this work, we present a novel downscaling procedure for compositional quantities based on the Aitchison geometry. The method is able to naturally consider compositional constraints, i.e. unit-sum and positivity. We show that the method can be used in a block sequential Gaussian simulation framework in order to assess the variability of downscaled quantities. Finally, to validate the method, we test it first in an idealized scenario and then apply it for the downscaling of digital soil maps on a more realistic case study. The digital soil maps for the realistic case study are obtained from SoilGrids, a system for automated soil mapping based on state-of-the-art spatial predictions methods.
