解释r中的GAM模型输出图

时间:2019-08-21 06:35:53

标签: r plot gam mgcv

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 ***
---
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

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我想知道如何解释剧情。这些线和值的含义是什么?

0 个答案:

没有答案