Table 4.
Spatiotemporal regression results of time-lagged models.
| Variables | No lag | One-week lag | Two-week lag | All lags included |
|---|---|---|---|---|
| SepCt | 0.22 (0.08:0.37) | 0.23 (0.09:0.40) | 0.25 (0.10:0.41) | 0.25 (0.10:0.41) |
| NDVI | −0.12 (−0.32:0.08) | −0.14 (−0.34:0.07) | −0.13 (−0.33:0.08) | −0.12 (−0.32:0.09) |
| OpWat | −0.91 (−1.27:−0.56) | −0.92 (−1.29:−0.57) | −0.90 (−1.27:−0.55) | −0.88 (−1.24:−0.54) |
| DevLow | −0.07 (−0.27:0.12) | −0.08 (−0.29:0.11) | −0.09 (−0.30:0.11) | −0.08 (−0.29:0.11) |
| WWet | −0.15 (−0.30:−0.01) | −0.14 (−0.29:−0.01) | −0.14 (−0.29:−0.01) | −0.14 (−0.30:0.00) |
| EHWet | −0.01 (−0.18:0.17) | −0.02 (−0.19:0.16) | −0.02 (−0.19:0.16) | −0.02 (−0.19:0.15) |
| Prcp | 0.10 (0.02:0.17) | 0.10 (0.02:0.17) | ||
| PrcpL1 | −0.11 (−0.20:−0.02) | −0.11 (−0.20:−0.03) | ||
| PrcpL2 | −0.04 (−0.13:0.04) | −0.06 (−0.14:0.02) | ||
| Tavg | 0.19 (0.05:0.34) | 0.08 (−0.07:0.23) | ||
| TavgL1 | 0.29 (0.15:0.42) | 0.14 (−0.01:0.28) | ||
| TavgL2 | 0.37 (0.24:0.51) | 0.29 (0.15:0.44) | ||
| Parameter | ||||
| Overdispersion | 0.50 (0.04:0.96) | 0.50 (0.04:0.96) | 0.50 (0.04:0.96) | 0.50 (0.04:0.96) |
| 5.78 (1.61:15.39) | 1.29 (0.40:3.36) | 1.26 (0.39:3.28) | 1.22 (0.38:3.14) | |
| r | 194 (98:354) | 82 (32:191) | 80 (31:185) | 79 (31:183) |
| φ (AR1) | 0.92 (0.80:0.98) | 0.98 (0.94:0.99) | 0.98 (0.93:0.99) | 0.98 (0.94:0.99) |
| Effective no. parameters | 41.35 (3.526) | 42.70 (4.07) | 43.10 (4.06) | 46.28 (4.12) |
| DIC | 4556.42 | 4631.76 | 4625.16 | 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.