TABLE 5.
Principal component analysis for weather variables in Table 3
| Variablea | Value for: |
|||
|---|---|---|---|---|
| Binary part (binomial with logit link)b |
P_count part (zero-truncated negative binomial with log link)b |
|||
| PC1 | PC2 | PC1 | PC2 | |
| tmd7 | −0.21 | 0.04 | ||
| tmd8 | −0.22 | 0.03 | −0.32 | 0.10 |
| tmd9 | −0.22 | 0.01 | −0.32 | 0.07 |
| tmd10 | −0.22 | 0.01 | −0.31 | 0.05 |
| tmd15 | −0.22 | 0.05 | ||
| tmd20 | −0.21 | 0.06 | ||
| tmd25 | −0.21 | 0.08 | ||
| tmd29 | −0.20 | 0.07 | ||
| ti2 | −0.14 | 0.48 | ||
| tid10 | −0.18 | 0.11 | ||
| tid15 | −0.18 | 0.12 | ||
| tx3 | −0.19 | 0.01 | ||
| txd3 | −0.20 | −0.03 | ||
| txd4 | −0.21 | −0.04 | ||
| txd5 | −0.21 | −0.05 | ||
| txd6 | −0.21 | −0.05 | −0.30 | 0.11 |
| txd7 | −0.21 | −0.04 | −0.32 | 0.02 |
| txd8 | −0.21 | −0.05 | −0.31 | −0.10 |
| txd9 | −0.21 | −0.06 | −0.30 | −0.12 |
| txd10 | −0.21 | −0.06 | −0.30 | −0.14 |
| txd15 | −0.22 | 0.00 | −0.30 | −0.16 |
| txd20 | −0.22 | 0.01 | ||
| txd25 | −0.21 | 0.03 | ||
| txd29 | −0.21 | 0.03 | ||
| ws2 | −0.05 | 0.50 | ||
| pd1 | −0.01 | 0.16 | ||
| pd5 | 0.02 | 0.36 | ||
| pd6 | 0.02 | 0.36 | ||
| pd7 | 0.01 | 0.36 | ||
| pd8 | 0.01 | 0.37 | ||
| pd9 | 0.01 | 0.36 | ||
| pd10 | 0.01 | 0.35 | ||
| pd25 | 0.05 | 0.26 | −0.12 | −0.40 |
| pd29 | 0.05 | 0.24 | −0.13 | −0.46 |
| StD (proportion of variance [%]; cumulative proportion [%]) | 4.49 (63; 63) | 2.64 (22; 85) | 3.27 (67; 67) | 1.73 (19; 85) |
tmdX, mean of the average daily temperatures (°C) in the period between the day of sampling collection (SC) and day X prior to SC; ti2, minimum daily temperature (°C) on day 2 prior to SC; tidX, mean of the minimum daily temperatures (°C) between the day of SC and day X prior to SC; tx3, maximum daily temperature (°C) on day 3 prior to SC; txdX, mean of the maximum daily temperatures (°C) between the day of SC and day X prior to SC; ws2, wind speed on day 2 prior to SC; pdX, mean amount of rain (mm) between the day of SC and day X prior to SC.
Boldface indicates the highest component loading a variable has in the particular model part.