Interpolating soil properties using kriging combined with categorical information of soil maps
Interpolating soil properties using kriging combined with categorical information of soil maps
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DOI：
10.2136/sssaj2005.0126
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发表时间：
2006-07-01
影响因子：
2.9
通讯作者：
Lee, Dar-Yuan
中科院分区：
文献类型：
--
作者：
Liu, Ten-Lin;Juang, Kai-Wei;Lee, Dar-Yuan
在土壤空间变异分析和解释中，克里金插值法常用于土壤性质制图。绘图质量可能影响特定地点管理的绩效。土壤图-在现有土壤图中描绘不同土壤类型之间边界的突变，可为解释土壤性质的变化提供有价值的分类信息。在这项研究中，地图单位被用来分组采样观察，土壤性质的变化被分为两个部分：（i）土壤类型之间（即，土壤类型效应）和（ii）在每种土壤类型内（即，残差）。提出了一种结合土壤制图的克里金模型，该模型考虑了土壤类型效应和残差的变异分量。比较了克立格法结合土壤制图（KSMD）和普通克立格法（OK）的性能，以评估KSMD用于改善土壤性质插值的可行性。本研究以台湾中西部一片林地土壤性质（砂、粉砂、黏粒含量、pH值、Mehlich-3钙、磷）之真实的资料为例。方差表分析表明，土壤类型的贡献是土壤空间变异的重要来源。从而确定了KSMD的土型效应和残差的空间变异分量。当比较KSMD和OK时，KSMD和OK估计的平均误差相似。然而，在127个验证位置的砂，粉砂和粘土含量，pH值，和Mehlich-3钙和磷的KSMD相对于OK（DIP %）的不精确度估计下降分别为34，40，48，20，42和3%。结果表明，KSMD方法可以利用土壤图的信息，提高土壤性质的插值精度。
Kriging interpolation is frequently used for mapping soil properties in the analysis and interpretation of spatial variation of soil. Mapping quality could affect the performance of site-specific management. Soil map-delineation in existing soil maps showing abrupt changes at the boundaries between different soil types can provide valuable categorical information for interpreting variation in soil properties. In this study, map units were used to group sampled observations, and the variation in soil properties was separated into two parts: (i) between soil types (i.e., soil type effect) and (ii) within each soil type (i.e., residual). A kriging model combined with soil map-delineation, taking into account the variation components of soil type effect and residual, was proposed. A comparison of performance of kriging combined with soil map-delineation (KSMD) and ordinary kriging (OK) was performed to assess the feasibility of KSMD for improving the interpolation of soil properties. Real data of soil properties (sand, silt, and clay contents; pH; and Mehlich-3 Ca and P) in a Held of midwestern Taiwan were used for illustration. The analysis of variance table revealed that the contribution of soil types is a significant source of the spatial variation of soil. The spatial variation components of soil type effect and residual were thus determined for KSMD. When comparing KSMD and OK, the mean errors of KSMD and OK estimations were similar. However, decreases in estimation of imprecision for KSMD relative to OK (DIP %) for the 127 validation locations for sand, silt, and clay contents; pH; and Mehlich-3 Ca and P were 34, 40, 48, 20, 42, and 3%, respectively. These results suggested that the proposed KSMD method could use the information of soil map-delineation to increase precision of the interpolation of soil properties.