Characterization of Environmental Covariates of Coimbatore District using Principal Component Analysis
نویسندگان
چکیده
The principal component analysis (PCA) is used to identify the most influencing variable. It one of statistical techniques for reducing dimension data. study was conducted in Coimbatore district, Tamil Nadu with 340 profile points. More than 30 environmental covariates are available this analysis. To make easier and accurate data has be reduced. components (PC1, PC2, PC3 PC4) selected further which accounts 53.84% variation. From four variables having higher percentage variation were identified. Hence it easiest methods predict variable using R software.
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ژورنال
عنوان ژورنال: International Journal of Current Microbiology and Applied Sciences
سال: 2021
ISSN: ['2319-7692', '2319-7706']
DOI: https://doi.org/10.20546/ijcmas.2021.1001.362