Journal of Infrastructure Preservation and Resilience

Table 4 Average of climatic variables for each cluster

From: Classification of pavement climatic regions through unsupervised and supervised machine learnings

Clusters	4 clusters
Clusters	1(wet no freeze)	2(dry no freeze)	3(dry freeze)	4(snow freeze)
Sample number	8601	3537	9099	429
MEAN_ANN_TEMP_AVG	16	17	9	5
MAX_ANN_TEMP_AVG	22	25	15	11
MIN_ANN_TEMP_AVG	10	10	2	0
MAX_ANN_TEMP	37	41	35	32
MIN_ANN_TEMP	−10	− 10	−25	−29
DAYS_ABOVE_32_C_YR	50	93	14	4
DAYS_BELOW_0_C_YR	55	57	148	170
FREEZE_INDEX_YR	49	49	582	983
FREEZE_THAW_YR	50	53	101	95
MAX_ANN_HUM_AVG	91	68	87	90
MIN_ANN_HUM_AVG	49	30	48	53
TOTAL_ANN_PRECIP	1254	473	814	974
INTENSE_PRECIP_DAYS_YR	31	11	18	20
WET_DAYS_YR	144	76	141	174
TOTAL_SNOWFALL_YR	130	142	1127	2218
SNOW_COVERED_DAYS_YR	0	0	1	95

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