Table 4.
Parameter | Summer | Autumn | Winter |
---|---|---|---|
Regression coefficient estimate (SE) | |||
intercept | 2.927 (0.25) | 4.214 (0.25) | 3.684 (0.25) |
D2A1 | −0.269 (0.04) | −0.161(0.04) | −0.137 (0.03) |
A1_50m | −4.002 (7.02) | 10.972 (5.37) | 8.664 (4.26) |
A23_400m | 0.403 (0.28) | 0.233 (0.22) | 0.551 (0.19) |
Pop_5k | −0.012 (0.03) | 0.112 (0.03) | 0.021 (0.03) |
D2C | 7.424 (0.69) | 0.484 (0.92) | 1.334 (1.03) |
Int_3k | 1.754 (0.77) | 0.845 (0.76) | 3.746 (0.88) |
D2Comm | −1.507 (0.97) | −3.846 (0.80) | −2.071 (0.78) |
Covariance | |||
φ̂ (range in meters) | 5,702 | 15,432 | 13,021 |
σ̂2 (partial sill) | 0.030 | 0.016 | 0.027 |
τ̂2 (nugget) | 0.011 | 0.023 | 0.010 |
Cross Validated R2(RMSE) | |||
LUR | 0.66 (0.22) | 0.55 (0.19) | 0.50 (0.21) |
UK | 0.70 (0.21) | 0.68 (0.18) | 0.72 (0.16) |
2-step | 0.70 (0.21) | 0.66 (0.18) | 0.70 (0.17) |