Table 2.
Eastern Colorado SAR GLM results with an inverse distance weighting matrix. All parameter estimates are significant at p < 0.0001. Parameter estimates are in units of WN cases per capita per kg/m2. The SAR framework reduces model residual spatial autocorrelation to non-significant levels, as assessed by comparing each model residual Moran I statistic to a bootstrapped distribution of Moran I statistics for random permutations of those model residuals. The expected Moran I statistic value for this sample size is −0.0002. The best-fit model is shown in bold.
| Spring Month | Summer Month | Spring Estimate | Spring T Statistic | Summer Estimate | Summer T Statistic | Dev. | Moran I Stat. | Moran Prob |
|---|---|---|---|---|---|---|---|---|
| March | July | 0.044 (0.0022) | 19.97 | −0.063 (0.0041) | −15.26 | 3.24e5 | −0.0000 | 0.578 |
| March | August | 0.044 (0.0021) | 21.34 | −0.060 (0.0035) | −16.87 | 3.18e5 | −0.0000 | 0.578 |
| March | Sept. | 0.043 (0.0025) | 16.90 | −0.029 (0.0042) | −6.92 | 3.53e5 | −0.0000 | 0.585 |
| April | July | 0.049 (0.0021) | 23.39 | −0.073 (0.0039) | −18.83 | 3.17e5 | −0.0004 | 0.429 |
| April | August | 0.051 (0.0020) | 26.03 | −0.075 (0.0035) | −21.54 | 3.04e5 | −0.0000 | 0.570 |
| April | Sept. | 0.043 (0.0028) | 15.46 | −0.028 (0.0043) | −6.62 | 3.59e5 | −0.0000 | 0.606 |
| May | July | 0.048 (0.0029) | 16.54 | −0.075 (0.0048) | −15.80 | 3.38e5 | −0.0001 | 0.577 |
| May | August | 0.065 (0.0033) | 19.63 | −0.094 (0.0050) | −18.78 | 3.11e5 | −0.0000 | 0.571 |
| June | July | 0.039 (0.0040) | 9.73 | −0.064 (0.0053) | −12.10 | 3.66e5 | −0.0000 | 0.573 |
| June | August | 0.047 (0.0038) | 12.40 | −0.068 (0.0046) | −14.86 | 3.54e5 | −0.0000 | 0.591 |