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Comparing Ordinary Kriging and Regression Kriging for Soil Properties in Contrasting Landscapes

Comparing Ordinary Kriging and Regression Kriging for Soil Properties in Contrasting Landscapes

作     者:Q.ZHU H.S.LIN 

作者机构:Department of Crop and Soil Sciences116 ASI BuildingThe Pennsylvania State UniversityUniversity ParkPA 16802(USA) 

出 版 物:《Pedosphere》 (土壤圈(英文版))

年 卷 期:2010年第20卷第5期

页      面:594-606页

核心收录:

学科分类:09[农学] 0903[农学-农业资源与环境] 090301[农学-土壤学] 

基  金:Supported by the United States Department of Agriculture National Research Initiative Grant(No.2002-35102-12547) 

主  题:geostatistics soil moisture spatial interpolation spatial structure 

摘      要:The accuracy between ordinary kriging and regression kriging was compared based on the combined consideration of sample size,spatial structure,and auxiliary variables(terrain indices and electromagnetic induction surveys) for a variety of soil properties in two contrasting landscapes(agricultural ***).When spatial structure could not be well captured by point-based observations(e.g.,when the ratio of sample spacing over correlation range was 0.5),or when a strong relationship existed between target soil properties and auxiliary variables(e.g.,their R2 was 0.6),regression kriging(RK) was more accurate for interpolating soil properties in both landscapes ***,ordinary kriging(OK) was *** depth and wetness condition did not appear to affect the selection of kriging for soil moisture interpolation,because they did not significantly change the ratio of sample spacing over correlation range and the relationship with the auxiliary *** of a smaller ratio of elevation change over total study area(E/A = 1.2) and multiple parent materials in the agricultural land,OK was generally more accurate in that *** contrast,a larger E/A ratio of 6.8 and a single parent material led to RK being preferable in the steep-sloped forested *** results from this study can be useful for selecting kriging for various soil properties and landscapes.

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