Table 1 Land use regression coefficients from the model using kriging with external drift (KED), including the variogram fit
Fine particulate matter model variables | Beta | Std. error | t-value | p-value | Â | Â |
|---|---|---|---|---|---|---|
(Intercept) | 10.03 | 0.28 | 35.45 | <0.01 | Exponential variogram model | |
Industrial land use within 500 m | 5.05 | 1.67 | 3.02 | <0.01 | Range (KM) | 5.53 |
Number of boilers burning residual oil within 1 km | 0.01 | 0.00 | 7.68 | <0.01 | Partial Sill | 0.36 |
Average density of truck traffic within 1.6 km | 0.16 | 0.06 | 2.85 | 0.01 | Nugget | 0.52 |
Estimated overall traffic weighted road density within 100 m | 0.01 | 0.00 | 6.10 | <0.01 | Â | Â |
Land area with vegetative cover within 100 m | −57.60 | 11.43 | −5.04 | <0.01 | Overall R-sq | 0.79 |
Nitrogen dioxide model variables | Beta | Std. error | t-value | p-value | Â | Â |
(Intercept) | 21.11 | 1.25 | 16.89 | <0.01 | Spherical variogram model | |
Interior square footage of buildings within 1km | 0.92 | 0.10 | 9.61 | <0.01 | Range (KM) | 18.84 |
Nighttime population within 1 km | 0.00 | 0.00 | 1.55 | 0.12 | Partial Sill | 3.71 |
Estimated overall traffic weighted road density within 100 m | 0.02 | 0.00 | 4.26 | <0.01 | Nugget | 8.15 |
Location on a bus route (Categorical) | 4.94 | 0.69 | 7.16 | <0.01 | Â | Â |
Land area with vegetative cover within 100 m | −309.98 | 47.76 | −6.49 | <0.01 | Overall R-sq | 0.80 |