Fig. 5

Local parameter estimates of GWR. a Local intercept for malaria hotspots (shows the spatial variation in the local intercept estimated by GWR). b Household size (indicates how malaria hotspots would change for each spatial unit change of the household size variable). c Village size (indicates how malaria hotspots would change for each spatial unit change of the village size variable). d Number of sleeping rooms (indicates how malaria hotspots would change for each spatial unit change of the number of sleeping rooms variable). e Bed net use (indicates how malaria hotspots would change for each spatial unit change of the bed net use variable). f Households raising sheep (indicates how malaria hotspots would change for each spatial unit change of the number of household raising sheep variable). g Distance to breeding sites (indicates how malaria hotspots would change for each spatial unit change of the distance to breeding sites variable). h Distance to health facilities (indicates how malaria hotspots would change for each spatial unit change of the distance to health facilities variable). i Housing materials (indicates how malaria hotspots would change for each spatial unit change of the housing materials variable)