[1]HUANG An,YANG Lian-an,DU Ting,et al.Study on Prediction Accuracy of Soil Nutrients Based on Cokriging in the Different Covariate Factors—A Case Study of Lantian County of Shaanxi Province[J].Research of Soil and Water Conservation,2014,21(04):133-137,142.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
21
Number of periods:
2014 04
Page number:
133-137,142
Column:
Public date:
2014-08-28
- Title:
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Study on Prediction Accuracy of Soil Nutrients Based on Cokriging in the Different Covariate Factors—A Case Study of Lantian County of Shaanxi Province
- Author(s):
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HUANG An1, YANG Lian-an1, DU Ting1, WANG An-le2, LIU Ying3, LEI Bao-jia1
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1. College of Urban and Environmental Science, Northwest University, Xi'an 710069, China;
2. Lantian County Agriculture Technolog Popularizing Center, Lantian, Shaanxi 710500, China;
3. School of Geographic Science, Southwest University, Chongqing 400715, China
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- Keywords:
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Cokriging; covariate factors; predictiion accuracy; soil nutrients; Lantian County
- CLC:
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S158;S159
- DOI:
-
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- Abstract:
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Based on the 1 114 data of agricultural districts of the northwestward in Lantian county for 2012, and the data including organic matter, alkali hydrolysable N, available P, available K the condition of controlling the number of concomitant variable, the author used the method of GIS and geostatistics to study the influence which the Cokiriging interpolation method had the precision of the spatial distribution of soil nutrient by cross coefficient tests and accuracy coefficient. The result shows that the degree of the abundance and lack of the spatial distribution of the soil nutrient is different, and anomalies exist in soil nutrient; using the method of increasing the Cokriging interpolation and the relative strength index among the concomitant variable can control the order when concomitant variable enters the pattern, and using the order can conduct the Cokriging interpolation, by which accuracy can be enhanced. And when the number of the concomitant variable is 3 the increasing accuracy is as follows: organic matter is 0.353%, alkali hydrolysable N is 1.114%, available P is 1.088%, available K is 0.646%. The result forecasts the feature of the spatial distribution of four indicators of the soil nutrients relatively accurately in the sampling region. Combined with soil type and soil fertilizer management method, and the reason for spacial distribution charatteristics of soil nutrients was discussed.