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机构地区:[1]吉林农业大学,吉林长春130118 [2]吉林省农业科学院,吉林长春130124
出 处:《中国农机化学报》2014年第4期268-273,共6页Journal of Chinese Agricultural Mechanization
基 金:国家"863"项目(2006AA10A309);国家星火计划项目(2008GA661003);吉林省科技项目(2011-Z20)
摘 要:土壤肥力因素的时空变异规律是评价土壤肥力高低的最重要指标。为了摸清黑土区土壤肥力时空变异规律特征,本文利用时空序列算法和时空聚类算法,进行了土壤肥力时空变异规律的研究与应用。首先利用时空序列算法,分析黑土区土壤肥力的时空变异性和土壤肥力的时空演变趋势;在此基础上,运用时空聚类算法,分析、评价土壤肥力时空变化趋势。实验结果表明:与空间模糊聚类算法方法相比,该算法充分考虑了空间数据的多维性、不确定性和时间性,比单一的空间聚类更能说明评价结果,也更适宜多年同一地块土壤肥力变化的评价;由于构建了时空序列集进行时空数据的分析,还能对较大区域的土壤肥力变化趋势进行预测,可为土壤肥力的综合评价提供理论和技术支撑。In order to investigate the space-time change of soil fertility characteristics of black soil area, the time sequence algorithm and temporal, spatial clustering algorithm were employed, and the space-time change of soil fertility was carried out. The variability and the change trend of black soil fertility over time and space were analyzed by using space and time sequence algorithm. On this basis, the spatial and temporal variation trend of soil fertility were analyzed and evaluated by using the span:e-time clustering algorithm. Compared with spatial fuzzy cluster algorithm, this method has fully considered the multi-dimension, uncertainty and time of space data, thus it is more convincing and suitable with the assessment on the fertility change of the same soil over many years. Due to the construction of temporal and spatial series set, it becomes feasible to predict the soil fertility change trend over a huge area, so that a theoretical and technological support can be provided for the general assessment of soil fertility.
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论]
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