From: Classification of pavement climatic regions through unsupervised and supervised machine learnings
Variables | Factor 1 | Factor 2 |
---|---|---|
MEAN_ANN_TEMP_AVG | 0.982994 | −0.047980 |
MAX_ANN_TEMP_AVG | 0.954591 | −0.189334 |
MIN_ANN_TEMP_AVG | 0.968678 | 0.104785 |
MAX_ANN_TEMP | 0.573785 | −0.606849 |
MIN_ANN_TEMP | 0.913414 | 0.025054 |
DAYS_ABOVE_32_C_YR | 0.752046 | −0.452869 |
DAYS_BELOW_0_C_YR | −0.960855 | −0.087493 |
FREEZE_INDEX_YR | −0.258940 | 0.089854 |
FREEZE_THAW_YR | −0.769869 | −0.188397 |
WET_DAYS_YR | 0.262178 | 0.865239 |
TOTAL_ANN_PRECIP | 0.320213 | 0.806396 |
INTENSE_PRECIP_DAYS_YR | −0.200770 | 0.798712 |
MAX_ANN_HUM_AVG | −0.077982 | 0.675087 |
MIN_ANN_HUM_AVG | −0.224511 | 0.815680 |
TOTAL_SNOWFALL_YR | −0.734878 | 0.127059 |
SNOW_COVERED_DAYS_YR | −0.830072 | 0.027067 |