| 基于GIS的地统计学方法在土壤科学中的应用 |
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| 引用本文： | 王炜明. 基于GIS的地统计学方法在土壤科学中的应用[J]. 勤云标准版测试, 2007, 0(5) |
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| 作者姓名： | 王炜明 |
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| 作者单位： | 兰州商学院招生就业处 兰州730020 |
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| 摘 要： | 地统计学应用于土壤科学中,并结合GIS(Geographic Information System,GIS)技术探索其空间分布特征及其变异规律已为越来越多的学者所推崇。半方差函数提供了一个定量工具,可以将土壤某一性质的变异与成土因子和成土过程联系起来,使人们加深对土壤的作用后果的理解,而克立格可以对未采样区的区域化变量的取值进行无偏最优估计。通过介绍基于GIS的地统计学方法在土壤水盐空间变异、养分空间分布特征、重金属污染调查等方面的研究,进一步说明了地统计学在未来土壤科学发展中广阔的应用前景。
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| 关 键 词： | 地统计学 空间变异 土壤养分 水盐变异 重金属污染 |
Utilization of Geo-statistic with GIS in Soil Sciences |
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| Wang Weiming. Utilization of Geo-statistic with GIS in Soil Sciences[J]. , 2007, 0(5) |
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| Authors: | Wang Weiming |
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| Affiliation: | Department of Recruitment and Employment ,College of Lanzhou Commercial, lanzhou 730020 |
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| Abstract: | The geostatistics of GIS is used in soil science to explore its spatial distribution characteristics and its variability law, it has been advocated by more and more experts. Semivariogram as an quantified tool can combine the variance of soil attribute with the form of soil to make the researchers understand deeply soil process. Kriging is optimal predictor for regionalized variable at un-sampled region. The application of geostatistics in spatial variability study on soil of salinity and moisture, soil nutrients and soil heavy metals pollution were reviewed in this paper and the vast applications of geostatistics were prospected in future soil science. |
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| Keywords: | Geostatistics Spatial variability Soil nutrients Variability of salinity and moisture Heavy metal pollution |
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