Table 7. The coefficients of the LMER+C models using training data (2015–2017) for Krabi 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)	-0.12		1.62	(-3.28, 3.05)	0.943
Population	2.68		0.71	(1.29, 4.07)	<0.001
MIN_LST	-0.09		0.11	(-0.29, 0.12)	0.419
AVG_RF	0.17		0.15	(-0.13, 0.47)	0.274
Bowl	-3.01		1.71	(-6.37, 0.35)	0.087
Bucket	1.33		2.17	(-2.93, 5.58)	0.545
Jar	2.45		1.83	(-1.14, 6.05)	0.19
Misc_Tall	1.37		1.24	(-1.06, 3.80)	0.277
Bowl * Population		3.31	1.6	(0.18, 6.43)	0.046
Population * Bucket		-2.26	1.95	(-6.08, 1.55)	0.253
Population * Jar		-3.15	1.67	(-6.43, 0.12)	0.067
Population * Misc_Tall		-0.91	1.12	(-3.10, 1.28)	0.421
Random effect	Std of b0,j
Subdistrict (intercept)	0.44
Year_Season (intercept)	0.55

Note: Std stands for standard deviation.