Table 2.

Coefficients and p values of point process models with different combinations of covariates for livestock

Predictors for Livestock	Model 1	Model 2	Model 3	Model 4
(Intercept)	-1.57 ***	-1.57 ***	-1.56 ***	-1.53 ***
SE	(0.10)	(0.10)	(0.10)	(0.10)
Slope	0.08
SE	(0.16)
Aspect	0.10	0.10
SE	(0.08)	(0.08)
Terrain Ruggedness	-0.30	-0.23 *	-0.23 *
SE	(0.17)	(0.10)	(0.10)
Vegetation Openness	-0.36 ***	-0.36 ***	-0.36 ***	-0.36 ***
SE	(0.07)	(0.07)	(0.07)	(0.07)
Elevation	-1.33 ***	-1.33 ***	-1.31 ***	-1.29 ***
SE	(0.11)	(0.11)	(0.10)	(0.10)
Escape Terrain	0.45 ***	0.44 ***	0.44 ***	0.55 ***
SE	(0.09)	(0.09)	(0.09)	(0.07)
N	1234	1234	1234	1234
AIC	1059.65	1057.90	1057.49	1060.42
BIC	1095.48	1088.61	1083.08	1080.89
Pseudo R2	0.39	0.39	0.39	0.39
ROC	0.843	0.842	0.842	0.841

* p < 0.05; ** p < 0.01; *** p < 0.001.