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首页> 外文会议>IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN) >SPATIAL VARIABILITY ANALYSIS OF SOIL PROPERTIES WITHIN A FIELD
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SPATIAL VARIABILITY ANALYSIS OF SOIL PROPERTIES WITHIN A FIELD

机译：田间土壤特性的空间变异性分析

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摘要

The main efforts and applications up to now are focused on the spatial variability analysis within a field. The spatial variability of soil properties within a field was evaluated using geostatistical analysis and the interpolation methods for mapping soil properties were compared in this paper. This experimentation was conducted in a wheat field of the trail farm in Shunyi County, Beijing. The soil properties tested were N, P, and K. The results suggested that the spatial variability of P were more obvious than N and K, the random sampling error of N was bigger than P and K, and the range of K was larger than N and P. The techniques of Kriging and Inverse Distance Weighting (IDW) can significantly improve estimation precision compared with Spline technique. Comparison of Kriging and IDW estimations revealed that Kriging performed better than IDW.
机译：迄今为止，主要的工作和应用都集中在一个领域内的空间变异性分析上。利用地统计方法评估了田间土壤特性的空间变异性，并比较了绘制土壤特性的插值方法。该实验在北京顺义县小径农场的麦田中进行。结果表明，P的空间变异性比N和K明显，N的随机采样误差大于P和K，K的范围大于N。 N和P。与样条线技术相比，克里格和逆距离加权（IDW）技术可以显着提高估计精度。克里格和IDW估计的比较表明，克里格比IDW表现更好。

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