Table II.

Characteristics of spatial autoregressive lag models fitted to seasonal white-tailed deer distributions (represented spatially by 30 592, 1 km² pixels) in an area of south Texas, derived using the normalized difference vegetation index.

Model	Parameters	Constant	NDVI	Spatial lag, ρ
Winter	Coefficient	–1.41	6.06	0.918
	Std. error	0.028	0.096	0.003
	z-value	–14.67	21.08	284.7
	Probability	< 0.001	< 0.001	< 0.001
				Pseudo-R2 = 0.837
Spring	Coefficient	–1.2	5.2	0.932
	Std. error	0.105	0.305	0.003
	z-value	–11.36	17.04	313.3
	Probability	< 0.001	< 0.001	< 0.001
				Pseudo-R2 = 0.838
Summer	Coefficient	–0.88	4.17	0.938
	Std. error	–1.02	0.28	0.003
	z-value	–8.64	14.7	331.7
	Probability	< 0.001	< 0.001	< 0.001
				Pseudo-R2 = 0.838
Autumn	Coefficient	–1.33	4.91	0.932
	Std. error	0.11	0.29	0.003
	z-value	–11.76	17.0	313.6
	Probability	< 0.001	< 0.001	< 0.001
				Pseudo-R2 = 0.838