Table 2.
Model summary for logistic regression model estimating probability of occurrence of high heat during summer days. Response was a Bernoulli variable representing whether or not temperature exceeded 26.7°C and 32.2 °C and predictors were field measured tree canopy cover, elevation, and their interaction.
| Predictor | > 26.7 °C | > 32.2 °C | ||||
|---|---|---|---|---|---|---|
| Odds ratio | 95%CI | p | Odds ratio | 95%CI | p | |
| Intercept | 0.17 | 0.13–0.21 | < 0.001 | 0.04 | 0.02–0.07 | < 0.001 |
| Canopy cover | 0.99 | 0.98–1.00 | 0.013 | 0.97 | 0.95–0.99 | 0.001 |
| Elevation | 1.00 | 1.00–1.00 | 0.251 | 1.00 | 0.99–1.00 | 0.314 |
| Canopy cover × elevation | 1.00 | 1.00–1.00 | 0.029 | 1.00 | 1.00–1.00 | 0.002 |
| Observations | 44,021 | 44,021 | ||||
p-values <0.05 are in bold