A coherent geostatistical approach for combining choropleth map and field data in the spatial interpolation of soil properties.

A coherent geostatistical approach for combining choropleth map and field data in the spatial interpolation of soil properties.
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在土壤特性的空间插值中结合脉络膜图和现场数据的连贯的地统计方法。

DOI:
10.1111/j.1365-2389.2011.01368.x
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发表时间:
2011-06
影响因子:
4.2
通讯作者:
Goovaerts P
Goovaerts P
中科院分区:
农林科学2区
文献类型:
--
作者:
Goovaerts P

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可用于绘制连续土壤属性图的信息通常包括点场数据和分区图(例如土壤或地质图),这些图将土壤属性的空间分布建模为具有恒定值的多边形(区域)的并列。本文提出了两种方法,将点和面数据的连续土壤属性的空间插值。在第一种情况下,使用区域到点克里金法绘制土壤单元内的变异性,同时确保预测的一致性,以便分类估计数的平均值等于原始区域数据。然后将得到的估计值用作残差克里金法的局部均值。第二种方法一步到位,并利用:1)克里金法的一般公式,允许通过使用克里金法系统中的面-面、面-点和点-点协方差来组合点和面数据,2)GIS可用于离散形状和大小不规则的多边形,以及3)可以从点测量直接推断的点支持变差函数模型的知识,从而消除对反卷积过程的需要。这两种方法说明了使用地质图和重金属浓度记录在表层土壤的瑞士汝拉。敏感性分析表明,新的程序提高了普通克里格和传统的残差克里格的基础上,假设当地的平均值是恒定的每个映射单元的预测。
Information available for mapping continuous soil attributes often includes point field data and choropleth maps (e.g. soil or geological maps) that model the spatial distribution of soil attributes as the juxtaposition of polygons (areas) with constant values. This paper presents two approaches to incorporate both point and areal data in the spatial interpolation of continuous soil attributes. In the first instance, area-to-point kriging is used to map the variability within soil units while ensuring the coherence of the prediction so that the average of disaggregated estimates is equal to the original areal datum. The resulting estimates are then used as local means in residual kriging. The second approach proceeds in one step and capitalizes on: 1) a general formulation of kriging that allows the combination of both point and areal data through the use of area-to-area, area-to-point, and point-to-point covariances in the kriging system, 2) the availability of GIS to discretize polygons of irregular shape and size, and 3) knowledge of the point-support variogram model that can be inferred directly from point measurements, thereby eliminating the need for deconvolution procedures. The two approaches are illustrated using the geological map and heavy metal concentrations recorded in the topsoil of the Swiss Jura. Sensitivity analysis indicates that the new procedures improve prediction over ordinary kriging and traditional residual kriging based on the assumption that the local mean is constant within each mapping unit.
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发表时间: 2010-07-01
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DOI: 10.1111/j.1365-2389.1980.tb02084.x
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期刊: JOURNAL OF SOIL SCIENCE
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