… future risk estimation. Using this risk estimation, we introduce predictive risk maps based on
… The predictive risk maps indicate how critical a certain behavior will be in the future and we …

… the predicted other cars’ trajectory we arrive at a predictive risk map Riskp(xe, p) in the (xe,
p… get a predictive risk map in the (xe,ve)plane as Risk(xe,ve) The predictive risk map indicates …

… Our smoothed predictive risk map, including uncertainty, … Our predictive risk map provides
a useful tool for to … We present a smoothed predictive schistosomiasis risk map for Brazil, …

… The predictive risk model maps developed in this study has provided detailed mapping of
the geographical distribution of urinary schistosomiasis in Ogun State. The fact that the models …

… , an alternative risk map. In this case, we have to consider several risk maps for the different
… In future work, we will apply the predictive risk estimation in combination with risk maps to …

… Here, we used semi-quantitative and statistical risk assessment methodologies to develop
a RVF risk map that determines risk of RVF epizootics for each of the 391 administrative …

… for the generation of predictive risk maps and almost all the … for the creation of predictive
maps, especially those used for … All nine studies developing predictive maps covered within …

… Italy) and the relative risk along the main road corridors … statistical predictive model was
performed to assess and map … map was successively used for assessing the landslide risk …

… decision support systems that include predictive risk maps [20, 22, 26]. In this paper, we use
BNs and a linked GIS to produce a predictive risk map of human leptospirosis infection in Fiji…

… mapping approach to quantify and map the exposure risk to schistosomiasis. Precision
mapping … geolocated information and maps to pinpoint regions of elevated health risk with high …