Figure 3From: Geographical patterns and predictors of malaria risk in Zambia: Bayesian geostatistical modelling of the 2006 Zambia national malaria indicator survey (ZMIS)Spatial distribution of remotely sensed covariates in Zambia. The climatic factors were summarized over a period preceding the survey indicated by the lag time analysis (day LST, night LST, NDVI, rainfall). The land use map presents the most frequent land use category in a buffer of 3 km around every pixel.Back to article page