Table 1 Results of occupancy models for Long-tailed Macaque using distance to large continuous (distance to oil palm plantation) and small patchy (distance to water) remote sensed habitat features at different spatial resolutions as covariate, estimated from camera-trapping data collected between 2008 and 2010 in three commercial forest reserves in Sabah, Malaysian Borneo.

Pixel size	AIC	ΔAIC	wAIC	β₁^*	SE	CV	p-value^**
Distance to oil palm plantation
90	331.48	0	0.250	−0.72	0.29	0.4	0.012
5	331.5	0.02	0.247	−0.72	0.29	0.4	0.012
30	331.5	0.02	0.247	−0.72	0.29	0.4	0.012
250	331.55	0.07	0.241	−0.72	0.29	0.4	0.012
—	337.05	5.57	0.015	—	—	—	—
Distance to water
5	301.13	0	0.997	−3.59	0.92	0.26	<0.001
30	312.86	11.73	0.003	−2.32	0.64	0.28	<0.001
90	330.35	29.22	0	−0.96	0.39	0.41	0.014
250	335.41	34.28	0	−0.49	0.27	0.55	0.074
—	337.05	35.92	0	—	—	—	—

ΔAIC: difference in AIC to top model, wAIC = AIC model weights, β₁ = regression coefficient, SE = regression coefficient standard error, CV = coefficient of variation of β₁ (SE/|β₁|), — denotes constant occupancy model.
^*Positive regression coefficients indicate positive association with distance to features, i.e. negative association to features. Negative regression coefficients indicate negative association with distance to features, i.e. positive association to features.
^**Bold font indicates significance at the 0.05 level.

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