Hierarchical Bayesian Spatio-Temporal Modeling for PM₁₀ Prediction

Table 1

Summary statistics of the daily PM₁₀ pollutant measured in μg/m³, temperature (denoted by Temp) measured in degree Celsius, and relative humidity (RH) obtained by air pointer and the meteorological station at Qatar University site. and SD stand for sample size and standard deviation, respectively. The % n.a. denotes the percentage of missing values in the data.

	Year		% n.a.	Min	Max	Median	Mean	SD
PM10	2016	348	4.92	18.35	659.49	76.95	102.63	89.23
	2017	257	2.28	66.22	1379.13	103.15	154.60	157.84
	2018	080	52.66	25.89	551.51	63.03	80.67	68.90
	2019	201	15.90	37.87	1542.57	72.29	117.46	157.24
	Overall	886	10.96	18.35	1542.57	83.35	119.09	104.68
Temp	2016	363	0.82	8.76	39.08	28.32	27.85	6.89
	2017	221	15.97	10.86	41.67	33.10	29.77	7.67
	2018	134	20.71	18.57	37.63	28.66	28.62	4.32
	2019	126	47.28	22.28	40.28	33.75	32.37	5.12
	Overall	844	8.70	8.76	41.67	31.40	29.14	6.30
RH	2016	363	0.82	15.13	92.77	56.34	53.67	18.31
	2017	221	15.97	18.16	86.94	52.12	50.57	16.74
	2018	134	20.71	23.40	89.05	57.74	55.19	16.86
	2019	126	47.28	20.83	80.29	46.40	48.39	15.99
	Overall	844	8.70	15.13	92.77	50.81	52.31	16.66