The variables are grouped into four main categories. Blue bars represent the land cover variables. Orange bars represent the mosquito infection rates. Green bars represent the weather variables. Red bars represent the demographic variables. The demographic features include total population, percentage of houses built after WWII and income, ranked 1, 9, and 13. dlipct is the land cover feature selected in the model, ranking 16. The average temperature 4 weeks ago and the temperature in January are the most important weather factors. MIR 1 and 4 weeks ago are the most important MIR features. While the ranks may change in individual runs, the feature importance of these factors are close to each other.</p
<p>Panels for each variable include (right) the interpolated time series for meteorological and clim...
Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks often overwhel...
Response curves of predicted suitability for Aedes aegypti along the gradient of most influential pr...
The higher the y-value, the more important the feature is to the model. The variables are grouped in...
We have variables representing Land cover, Mosquito infection rate, Weather, and Demographics factor...
Representation of model selection for the best environmental variables to explain trait variation de...
The current Zika virus epidemic in the Western hemisphere is representative of the confluence of glo...
bio1- mean annual temperature, bio12-Mean annual precipitation, bio15-Precipitation seasonality, lul...
<p>Both full model (including all variables) and the reduced model (according to the stepwise reduct...
<p>Climatic variables are shown in grey and non-climatic variables in white. The relative importance...
Top 10 important features according to the average decrease in Gini index over the 18 training model...
Altitude: altitude; Clay %: clay percentage; coast_dist: distance to coast; landuse: landuse; light:...
<p>Importance was calculated based on mean decrease in model accuracy (black bars) and mean decrease...
<p>Dashed lines: confidence area of the weighted predictions. Grey areas: the rainy seasons (peak: d...
Relative influence of predictor variables in models of climatic suitability for boosted regression t...
<p>Panels for each variable include (right) the interpolated time series for meteorological and clim...
Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks often overwhel...
Response curves of predicted suitability for Aedes aegypti along the gradient of most influential pr...
The higher the y-value, the more important the feature is to the model. The variables are grouped in...
We have variables representing Land cover, Mosquito infection rate, Weather, and Demographics factor...
Representation of model selection for the best environmental variables to explain trait variation de...
The current Zika virus epidemic in the Western hemisphere is representative of the confluence of glo...
bio1- mean annual temperature, bio12-Mean annual precipitation, bio15-Precipitation seasonality, lul...
<p>Both full model (including all variables) and the reduced model (according to the stepwise reduct...
<p>Climatic variables are shown in grey and non-climatic variables in white. The relative importance...
Top 10 important features according to the average decrease in Gini index over the 18 training model...
Altitude: altitude; Clay %: clay percentage; coast_dist: distance to coast; landuse: landuse; light:...
<p>Importance was calculated based on mean decrease in model accuracy (black bars) and mean decrease...
<p>Dashed lines: confidence area of the weighted predictions. Grey areas: the rainy seasons (peak: d...
Relative influence of predictor variables in models of climatic suitability for boosted regression t...
<p>Panels for each variable include (right) the interpolated time series for meteorological and clim...
Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks often overwhel...
Response curves of predicted suitability for Aedes aegypti along the gradient of most influential pr...