Table 3.
Model fit diagnostic statistics in Mid-Columbia (MC) and Oregon Coast (OC) processing units. Statistics for comparison include Akaike’s Information Criterion (AIC; not comparable between models from different processing units), leave one out cross validation (LOOCV) R2, root mean square prediction error (RMSPE), percent of variance explained by the fixed effect covariates, the three exponential autocovariance functions (tail-up, tail-down, and Euclidean), the random effects of site and year, and the nugget.
| MC | OC | |
|---|---|---|
|
| ||
| Diagnostic statistics | ||
| Obs. Site n | 6989 | 3140 |
| AIC | 20789 | 9528 |
| LOOCV R2 | 0.93 | 0.913 |
| LOOCV RMSPE (°C) | 0.94 | 1.005 |
| Variance components (%) | ||
| Fixed Effect Covariates | 9.8 | 18.5 |
| Exponential tail-up | 35.5 | 41.3 |
| Exponential tail-down | 12.7 | 4.8 |
| Exponential Euclidean | 24.4 | 14.6 |
| site | 5.2 | 6.7 |
| year | 1.6 | 2.0 |
| nugget | 10.7 | 12.1 |