Table 5.
Spatial error models of fragmentation and distance to urban centers
| Variable | Estimate (SE) |
t statistic | ||
|---|---|---|---|---|
| 2000 | 1973 | 2000 – 1973 | ||
| Constant | 0.21299 (0.01857) | 0.1900 (0.0193) | 0.0218* (0.0208) | 30.9 |
| Distance to nearest urban center | 0.0064 (0.00083) | 0.0028 (0.0009) | 0.0037 (0.00094) | 109.6 |
| (Distance to nearest urban center)2 | −0.00006 (0.00001) | −0.00003 (0.000007) | −0.00002 (0.000008) | −77.5 |
| Spatial error correlation coefficient | 0.3470 (0.0274) | 0.3642 (0.0270) | 0.2669 (0.0293) | — |
| Moran's I with residuals | −0.0126 (P = 0.208) | −0.0116 (P = 0.240) | −0.0066 (P = 0.336) | — |
| R2 | 0.154 | 0.139 | 0.078 | — |
Dependent variable: proportion of contrasting edges within a 2 × 2 km window; n = 2,007; W = inverse distance weighting function with 5,000-m maximum cutoff; all coefficients are significant at the 0.005 level except for ∗, which is not significant. t test of null hypothesis: β̂2000 − β̂1973 = 0.