¿are they high or low? I don't know what is the acceptable value... Thanks, Karla .
This is a late bump to a relatively old question, but may be of help to future visitors.
In Noam Ross' course on GAMs, GAMs in R, Chapter 2, section 10 "checking concurvity" says that observing a value over 0.8 for the worst case requires closer inspection of the model. So in the image you pasted there's only one variable over 0.8 (
VV_PROM_S60), but there are many very close to that threshold, so you may want to check those too. The suggested way to have a closer look at the model is by using
concurvity(model, full = FALSE) and carefully analyzing the pairwise concurvities.
I would like to get more clarity on this as well, but I did find one paper (Tree traits inﬂuence response to ﬁre severity in the western Oregon Cascades, USA; 2019) that used the
mgcv package where the authors used a cutoff of 0.3. It sounded like they applied that cutoff to all three measures of concurvity. Of course, even they said it was an arbitrary cutoff.