Table 5. The coefficients of the LMER+C model using training data (2015–2017) for Bangkok province.

Significant variables with a p-value <0.05 are indicated with boldface.

Predictor	βj	βj * γk	SE	95% CI	p-value
Fixed effects
(Intercept)	1.08		1.01	(-0.91, 3.06)	0.297
Population	2.2		0.2	(1.81, 2.59)	< 0.001
MAX_LST	-0.1		0.06	(-0.22, 0.03)	0.126
AVG_RF	0.97		0.23	(0.52, 1.41)	< 0.001
Jar	0.73		0.27	(0.20, 1.26)	0.008
Misc_Tall	-0.21		0.1	(-0.40, -0.01)	0.04
Jar * Population		-1.28	1.01	(-1.93, -0.63)	< 0.001
Population * Misc_Tall		0.79	0.27	(0.32, 1.26)	0.001
Random effects	Std of b0,j
Subdistrict (intercept)	0.36
Year_Season (intercept)	1.45

Note: Std stands for standard deviation.