I am regressing two butterfly richness variables (summer and winter) against a set of environmental variables separately. (variables with continuous numbers) Environmental variables are identitcal in each model.
In the summer model, the weight rank of coefficients is temp > prec > ndvi.
The weight rank in winter is temp > ndvi > prec.
As it is almost implausible to compare the coefficients directly, pls advise any advanced method other than regression to discriminate such coefficient rank between seasons, such as canonical correlation analysis (unsure if it is suitable here)
The spatial info here richness and environmental variables comprising 2000 grid (continuous distribution) spanning from 100 E to 130 E longitude, 18 to 25 N latitude.