Table 1 Comparison across selected stepwise fitting interactions and the model baseline, showing the number of total parameters estimated (Vulnerabilities (Vs) + number of anomaly spline points (PP_anomaly)), the model sum of squares (SS), the SS percentage of contribution to the fitting, the Akaike Information Criterion (AIC) and the AIC weights.
Name | Parameters estimated | SS | contribution to SS fitting | AIC | Akaike weight | |
|---|---|---|---|---|---|---|
without temperature | Baseline | 0 | 1620 | — | 256 | 0 |
Fishing | 0 | 1219 | 25% | −151 | 0 | |
Fishing + 24 Vs + 3 PP_anomaly | 27 | 614 | 62% | −1079 | 0.61 | |
with temperature | Baseline | 0 | 1515 | — | 158 | 0 |
Baseline + 33 Vs | 33 | 1033 | 32% | −323 | 0 | |
Baseline + 5 PP_anomaly | 5 | 1484 | 2% | 139 | 0 | |
Fishing | 0 | 1126 | 26% | −266 | 0 | |
Fishing + 33 Vs | 33 | 793 | 48% | −702 | 0 | |
Fishing + 5 PP_anomaly | 5 | 1038 | 32% | −372 | 0 | |
Fishing + 24 Vs + 3 PP_anomaly | 27 | 632 | 58% | −1040 | 0 | |
Fishing + 33 Vs + 5 PP_anomaly | 38 | 607 | 60% | −1076 | 0.25 | |
Fishing + 36 v + 3pp | 39 | 606 | 60% | −1075 | 0.15 | |
Fishing + 36 v + 4pp | 40 | 603 | 60% | −1073 | 0.06 |
