<p>To assist in comparison between area- and population-weighted predictions, concentrations shown here are normalized so that the largest value in each comparison equals one. The gray lines represent 1 : 1, 2 : 1, and 1 : 2 ratios between the models, and the black and blue lines represent least-squares regressions. Performance statistics for each comparison are listed below the plots. Abbreviations: MFB = mean fractional bias; MFE = mean fractional error; MR = model ratio; <i>R</i><sup>2</sup> = squared Pearson correlation coefficient; <i>S</i> = slope of regression line.</p
Empirical spatial air pollution models have been applied extensively to assess exposure in epidemiol...
<p>Comparison of model simulations (lines) with observed data on the time courses of 3-OHBaP in the ...
Fine particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) has been associated with ...
<p>The background colors in the maps represent predicted concentrations, and the colors of the circl...
Empirical models aim to predict spatial variability in concentrations of outdoor air pollution. For ...
<p>For ease of viewing, there is a discontinuity at the 99th percentile of concentration values. <a ...
Epidemiologic studies have found associations between fine particulate matter (PM2.5) exposure and a...
Also shown are the reduced-major axis regression lines (solid lines), the regression slopes (s) and ...
Abstract Traditional statistical methods (TSM) and machine learning (ML) methods have been widely us...
National-scale empirical models for air pollution can include hundreds of geographic variables. The ...
Receptor modelling techniques are used to identify and quantify the contributions from emission sour...
Although PM2.5 (particulate matter with aerodynamic diameters less than 2.5 μm) in the air originate...
<p>Maps of the percentage change in (a) PM<sub>2.5</sub> and (b) O<sub>3</sub> from the warm mid-cen...
Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variat...
There is growing evidence in the epidemiologic literature of the relationship between air pollution ...
Empirical spatial air pollution models have been applied extensively to assess exposure in epidemiol...
<p>Comparison of model simulations (lines) with observed data on the time courses of 3-OHBaP in the ...
Fine particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) has been associated with ...
<p>The background colors in the maps represent predicted concentrations, and the colors of the circl...
Empirical models aim to predict spatial variability in concentrations of outdoor air pollution. For ...
<p>For ease of viewing, there is a discontinuity at the 99th percentile of concentration values. <a ...
Epidemiologic studies have found associations between fine particulate matter (PM2.5) exposure and a...
Also shown are the reduced-major axis regression lines (solid lines), the regression slopes (s) and ...
Abstract Traditional statistical methods (TSM) and machine learning (ML) methods have been widely us...
National-scale empirical models for air pollution can include hundreds of geographic variables. The ...
Receptor modelling techniques are used to identify and quantify the contributions from emission sour...
Although PM2.5 (particulate matter with aerodynamic diameters less than 2.5 μm) in the air originate...
<p>Maps of the percentage change in (a) PM<sub>2.5</sub> and (b) O<sub>3</sub> from the warm mid-cen...
Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variat...
There is growing evidence in the epidemiologic literature of the relationship between air pollution ...
Empirical spatial air pollution models have been applied extensively to assess exposure in epidemiol...
<p>Comparison of model simulations (lines) with observed data on the time courses of 3-OHBaP in the ...
Fine particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) has been associated with ...