Predictors of malaria infection in a wild population: Landscape level analyses reveal anthropogenic effects

Supplementary table 1. Summary of single and multi-predictor autologistic models for the 50 m and 200 m radii for the sensitivity analyses.

	50m radius				200m radius
Model	Predictors	AIC	pval	R2	Predictors	AIC	pval	R2
Altitude	ALT	477.3	0.005	0.118	ALT	477.3	0.005	0.118
Precipitation	PRECIP	482.1	0.001	0.102	PRECIP	482.6	0.023	0.101
Mintemp	MINTEMP	473.8	0.001	0.129	MINTEMP	474.0	0.001	0.129
Aspect	ASPECT	481.1	0.010	0.106	ASPECT	480.6	0.008	0.107
Slope	SLOPE	487.4	0.447	0.085	SLOPE	487.2	0.387	0.085
Water	DISTWATER	470.5	0.002	0.139	DISTWATER	470.6	0.002	0.139
Poultry	DISTPOUL	475.8	0.001	0.123	DISTPOUL	475.8	0.001	0.123
Farm	DISTFARM	477.3	0.008	0.118	DISTFARM	477.3	0.008	0.118
Density	DENSITY	486.2	0.181	0.089	DENSITY	487.0	0.320	0.087
Vegetation	VEGTYPE	486.0	0.982	0.109	VEGTYPE	491.9	1	0.097
Construction	DIST_URB	482.9	0.063	0.100	DIST_URB	482.9	0.063	0.099
Best fit anthropogenic	DISTWATER	466.9	0.010	0.157	DISTWATER	466.9	0.010	0.157
	DISTPOUL		0.020		DISTPOUL		0.020
Best fit natural	MINTEMP	469.0	0.001	0.151	MINTEMP	469.4	0.002	0.150
	ASPECT		0.009		ASPECT		0.011
Best fit biotic	DISTPOUL	475.8	0.001	0.123	DISTPOUL	475.8	0.001	0.123
Best fit abiotic	ASPECT	464.2	0.004	0.167	ASPECT	464.1	0.004	0.166
	DISTWATER		0.002		DISTWATER		0.002