Multivariate techniques as alternative statistical tools applied to magnetic proxies for pollution: a case study from Argentina and Antarctica
Multivariate techniques as alternative statistical tools applied to magnetic proxies for pollution: a case study from Argentina and Antarctica
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DOI：
10.1007/s00254-007-0823-6
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发表时间：
2008-03-01
期刊：
影响因子：
--
通讯作者：
Sinito, Ana M.
中科院分区：
文献类型：
--
作者：
Chaparro, Marcos A. E.;Chaparro, Mauro A. E.;Sinito, Ana M.
一些统计分析--作为替代工具--被用于磁力监测研究。来自两个环境的磁性和化学数据已经从以前的论文中收集并分别进行了研究。首先进行了单变量和多变量分析，揭示了磁性变量和化学变量之间的联系。后一种分析，特别是典型相关分析，显示出很好的典型相关：R=0.950(南极洲)和R=0.891(阿根廷)。另一方面，为了根据污染程度对数据进行分类，进行了主坐标和判别分析，并对几种多变量均值进行了比较。在两个案例研究中都区分了三组：0.01组(南极洲)和0.05组(阿根廷)，它们的分类误差很小，彼此之间存在显著差异。联合使用这些统计分析还表明，与以前的研究一致，用于确定大气污染的相关变量是：磁化率、等温剩磁饱和、无滞后磁化率/磁化率、剩余矫顽力以及铜、铅、锌和铬含量。
Several statistical analyses-as alternative tools-were applied to magnetic monitoring studies. Magnetic and chemical data from two environments have been gathered from previous papers and studied separately. Univariate and multivariate analyses were first examined, revealing a link between magnetic and chemical variables. The latter analyses, in particular, canonical correlation analysis, showed very good canonical correlations: R = 0.950 (Antarctica) and R = 0.891 (Argentina). On the other hand, in order to classify the data according to the degree of contamination, principal coordinates and discriminant analyses, as well as the comparison of several multivariate means were performed. Three groups were distinguished in both case studies, which were well classified at a low margin of error and quite different from each other at a significant level: 0.01 (Antarctica) and 0.05 (Argentina). The joint use of these statistical analyses also showed, in agreement with previous studies, that the relevant variables in order to identify atmospheric pollution are: magnetic susceptibility, saturation of isothermal remanent magnetisation, anhysteric susceptibility/magnetic susceptibility, remanent coercivity, and copper, lead, zinc and chromium contents.