Fig. 4From: Comparison of new computational methods for spatial modelling of malariaPredicted prevalences and uncertainties for a INLA, b GPBoost, c SpRF, and d FRK when trained on P. falciparum prevalence data from Kenya in 2009. Note that these maps are intended only to illustrate differences in model predictions when fit to a small data sample, and are not likely to accurately represent malaria prevalence across the country in this yearBack to article page