Loading matrix | PC1 | PC2 | PC3 | PC4 | PC5 |
---|
Fertilizer | 0.018 | 0.952 | 0.289 | 0.088 | 0.034 |
Agriculture | − 0.117 | − 0.409 | 0.903 | 0.053 | 0.009 |
Area | 0.950 | − 0.114 | − 0.296 | 0.092 | 0.012 |
Insecticides | 0.949 | − 0.274 | − 0.041 | 0.091 | 0.116 |
Air pollution | 0.961 | 0.124 | 0.191 | − 0.143 | − 0.032 |
Non-methane pollutants | 0.983 | − 0.053 | 0.012 | 0.055 | − 0.164 |
Ammonia | 0.962 | − 0.137 | 0.207 | − 0.88 | 0.008 |
- We reduced the number of variables in a Principal Component Analysis based on the correlation matrix and the varimax rotation. The three principal components with eigenvalues larger than 1.0 are listed. The PCA resulted in three eigen-values of 4.63, 1.20 and 1.05 accounting for an accumulated amount of variance of 83.3% of the variance. The first PC had weights of 0.950 for agricultural area, 0.949 for insecticides, 0.961 for air pollution, 0.983 for non-methane and 0.962 for ammonia. PC2 had a weight of 0.952 for fertilizer and PC3 had a weight of 0.903 for agriculture. Variables larger than 0.4 are generally considered to be significant and they are highlighted in bold font