我用gam模型解释了海洋中环境参数(sst,chl)的鱼获(cpue)变化。
model9<-gam(log(cpue)~s(lon,lat), data=c1)
summary(model9)
plot(model9)
plot(model9, scheme = 2)
结果如下
Family: gaussian
Link function: identity
Formula:
log(cpue) ~ s(lon, lat)
Parametric coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.13478 0.03218 -35.27 <2e-16 ***
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Approximate significance of smooth terms:
edf Ref.df F p-value
s(lon,lat) 15.92 20.69 2.242 0.00151 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
R-sq.(adj) = 0.0771 Deviance explained = 10.6%
GCV = 0.5514 Scale est. = 0.53328 n = 515
我想知道如何解释剧情。这些线和值的含义是什么?