Table 6.

ST-CAR model results

	Model 1 (DIC: 67,055.98)				Model 2 (DIC: 66,954.16)
	2.5%	Median	97.5%	RR (%)	2.5%	Median	97.5%	RR (%)
Intercept	−2.0296	−1.6427	−1.3183	NA	−0.8195	−0.5423	−0.3055	NA
PC1	0.0159	0.0463	0.0785	4.7	0.0459	0.0732	0.1	7.6
PC2	−0.0885	−0.0475	−0.0068	−4.6	−0.0042	0.0382	0.0798	3.9
PNurseries	0.0203	0.1213	0.2215	12.9	0.0841	0.1806	0.2787	19.8
Tires	−0.0838	0.0531	0.1902	5.5	−0.023	0.1118	0.2469	11.8
Popdens	−0.173	−0.0146	0.1482	−1.5	−0.3296	−0.1749	−0.0176	−16
Rivers	−0.2473	−0.1233	−0.0029	−11.6	−0.2532	−0.1381	−0.0227	−12.9
Trees	0.1254	0.3071	0.4909	36.0	0.0901	0.2626	0.4404	30.0
Tavg (L5)	1.5864	1.9947	2.3546	635	−0.6022	−0.2908	0.0415	−25.2
DTRMax (L4)	−0.24	0.2361	0.9014	26.6	0.4579	0.8115	1.2709	125.1
RelHRng (L3)	0.4641	0.8713	1.342	139	0.4317	0.615	0.8213	85.0
RainT (L3)	−1.3716	−0.613	0.003	−45.8	−2.8222	−2.4343	−2.0671	−91.2
RainD (L5)	−0.5249	−0.1837	0.1929	−16.8	−0.9178	−0.7063	−0.4845	−50.7
CoolD (L2)	0.0013	0.5678	1.1938	76.4	−0.8337	−0.2914	0.1285	−25.3
WarmD (L5)	−1.7085	−1.3392	−0.9888	−73.8	0.2861	0.6383	0.9196	89.3
$\mathrm{\rho }$	0.977	0.9829	0.9872	NA	0.977	0.9824	0.9867	NA
α	0.0736	0.1189	0.1636	NA	0.0737	0.1193	0.1651	NA

DIC = deviance information criterion; model 1 = no lags; model 2 = lagged weather variables.