<p>The background colors in the maps represent predicted concentrations, and the colors of the circles on the maps represent the difference between modeled and measured values at measurement locations. Abbrevations: MFB = mean fractional bias; MFE = mean fractional error; MB = mean bias; ME = mean error; MR = model ratio; <i>S</i> = slope of regression line; <i>R</i><sup>2</sup> = squared Pearson correlation coefficient.</p
<p>A) pP<i>ydfO’-eilA,</i> B) pP<i>ydfA’-eilA</i>, C) pP<i>marR’-eilA</i>, D) pP<i>lacUV5-eilA</i>, ...
The aerosol mass concentrations over several Indian regions have been simulated using the online che...
Assessing the ability of global and regional models to describe aerosol optical properties is essen...
<p>To assist in comparison between area- and population-weighted predictions, concentrations shown h...
We present results from and evaluate the performance of a 12-month, 12 km horizontal resolution ...
Empirical models aim to predict spatial variability in concentrations of outdoor air pollution. For ...
Maps display the mean squared error of parcel-level predictions, by county, for county-level models ...
GPR was compared against RFR and BRT using a two-sided paired t-test to check whether the predictive...
Statistical methods used were partial least square regression (PLSR), random forest (RF), ridge regr...
We estimate ground-level fine particulate matter (PM2.5) total and compositional mass concentrations...
<p>Results of environmental models for various extraction masks showing the R<sup>2</sup> value and ...
The X-axis and Y-axis represent the environmental factors and bacterial species, respectively. Color...
<p>The squares represent firing rates at each point of the big square environment, with hot colors m...
<p>Trendlines correspond to 3-degree polynomial fitting models and R2 stand for the coefficient of d...
<p>(A) Environmental PC distance from sampling locations mapped across the state. ‘Cooler’ colors re...
<p>A) pP<i>ydfO’-eilA,</i> B) pP<i>ydfA’-eilA</i>, C) pP<i>marR’-eilA</i>, D) pP<i>lacUV5-eilA</i>, ...
The aerosol mass concentrations over several Indian regions have been simulated using the online che...
Assessing the ability of global and regional models to describe aerosol optical properties is essen...
<p>To assist in comparison between area- and population-weighted predictions, concentrations shown h...
We present results from and evaluate the performance of a 12-month, 12 km horizontal resolution ...
Empirical models aim to predict spatial variability in concentrations of outdoor air pollution. For ...
Maps display the mean squared error of parcel-level predictions, by county, for county-level models ...
GPR was compared against RFR and BRT using a two-sided paired t-test to check whether the predictive...
Statistical methods used were partial least square regression (PLSR), random forest (RF), ridge regr...
We estimate ground-level fine particulate matter (PM2.5) total and compositional mass concentrations...
<p>Results of environmental models for various extraction masks showing the R<sup>2</sup> value and ...
The X-axis and Y-axis represent the environmental factors and bacterial species, respectively. Color...
<p>The squares represent firing rates at each point of the big square environment, with hot colors m...
<p>Trendlines correspond to 3-degree polynomial fitting models and R2 stand for the coefficient of d...
<p>(A) Environmental PC distance from sampling locations mapped across the state. ‘Cooler’ colors re...
<p>A) pP<i>ydfO’-eilA,</i> B) pP<i>ydfA’-eilA</i>, C) pP<i>marR’-eilA</i>, D) pP<i>lacUV5-eilA</i>, ...
The aerosol mass concentrations over several Indian regions have been simulated using the online che...
Assessing the ability of global and regional models to describe aerosol optical properties is essen...