|
|||||
|
|
Uncommon multivariate statistical methods for environmental studies: A review |
|
| Institution: | 1. State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;1. Department of Environmental Science, Zhejiang University, Hangzhou 310058, China;2. State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;3. Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control, Zhejiang University, Hangzhou 310058, China |
| Abstract: | In this paper we describe the characteristics and the applications of the multivariate methods for spectroscopic and chromatographic techniques independent component analysis (ICA) and two-dimensional correlation spectroscopy (2DCOS) focused to their use in environmental studies. In our opinion, these methods are important because they allow to characterize environmental samples with different aims and scopes from those generally obtained by means of more common multivariate methods such as principal component analysis (PCA) and partial least squares (PLS). The new insights of these methods in recent environmental studies are reviewed and debated. |
| Keywords: | Environmental studies Multivariate methods Independent component analysis Two-dimensional correlation spectroscopy Spectroscopic analysis Chromatographic analysis |
| 本文献已被 ScienceDirect 等数据库收录！ | |