Spatial air quality modelling using chemometrics techniques: A case study in Peninsular Malaysia [Pemodelan ruang kualiti udara menggunakan teknik-teknik kemometrik: Satu kajian kes di semenanjung Malaysia]
This study shows the effectiveness of hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA), principal component analysis (PCA), and multiple linear regressions (MLR) for assessment of air quality data and recognition of air pollution sources. 12 months data (January-Decembe...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Malaysian Society of Analytical Sciences
2015
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/6929/1/FH02-ESERI-15-04687.jpg http://eprints.unisza.edu.my/6929/ |
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