Table 5.
Regression results of models employing different error structures.
| Variables | No spatial or temporal random errors | Spatial model | Temporal model | Spatiotemporal model |
|---|---|---|---|---|
| SepCt | 0.18 (0.12:0.23) | 0.24 (0.11:0.38) | 0.27 (0.17:0.36) | 0.25 (0.10:0.41) |
| NDVI | −0.19 −0.25:−0.13) | −0.05 (−0.24:0.14) | −0.31 (−0.41:−0.20) | −0.12 (−0.32:0.09) |
| OpWat | −0.23 (−0.29:−0.18) | −0.84 (−1.17:−0.52) | −1.33 (−1.59:−1.09) | −0.88 (−1.24:−0.54) |
| DevLow | −0.02 (−0.07:0.03) | −0.07 (−0.25:0.10) | 0.25 (0.13:0.36) | −0.08 (−0.29:0.11) |
| WWet | 0.01 (−0.05:0.05) | −0.20 (−0.34:−0.06) | 0.05 (−0.05:0.14) | −0.14 (−0.30:0.00) |
| EHWet | −0.07 (−0.12:−0.02) | −0.03 (−0.19:0.13) | −0.39 (−0.54:−0.24) | −0.02 (−0.19:0.15) |
| Prcp | 0.03 (−0.01:0.07) | 0.14 (0.08:0.21) | 0.11 (0.04:0.18) | 0.10 (0.02:0.17) |
| PrcpL1 | −0.09 (−0.13:−0.04) | −0.10 (−0.19:−0.02) | −0.12 (−0.21:−0.04) | −0.11 (−0.20:−0.03) |
| PrcpL2 | −0.05 (−0.09:−0.01) | 0.06 (−0.02:0.14) | −0.05 (−0.13:0.03) | −0.06 (−0.14:0.02) |
| Tavg | −0.01 (−0.07:0.04) | −0.14 (−0.25:−0.04) | 0.11 (−0.04:0.25) | 0.08 (−0.07:0.23) |
| TavgL1 | 0.10 (0.03:0.17) | 0.25 (0.13:0.37) | 0.17 (0.02:0.32) | 0.14 (−0.01:0.28) |
| TavgL2 | 0.24 (0.19:0.30) | 0.78 (0.68:0.89) | 0.36 (0.21:0.50) | 0.29 (0.15:0.44) |
| Parameter | ||||
| Overdispersion | 0.50 (0.06:0.94) | 0.50 (0.04:0.96) | 0.50 (0.04:0.96) | 0.50 (0.04:0.96) |
| 3.49 (1.25:8.50) | 1.22 (0.38:3.14) | |||
| r | 191 (112:326) | 79 (31:183) | ||
| φ (AR1) | 0.98 (0.94:0.99) | 0.98 (0.94:0.99) | ||
| Effective no. parameters | 12 (0.00) | 25.31 (3.13) | 25.56 (1.01) | 46.28 (4.12) |
| DIC | 12345.09 | 5019.51 | 4803.39 | 4615.77 |
Notes: Error is expressed as either 95% credible interval or SD. AR1, autoregressive process; DIC, deviance information criterion; NDVI, Normalized Difference Vegetation Index; SD, standard deviation.