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forc-db / Global_Productivity

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New response variables added #12

Closed beckybanbury closed 5 years ago

beckybanbury commented 5 years ago

@teixeirak I've updated the results to include more response variables here.

Results for R_auto and woody.mortality aren't very clear, I think because sample sizes aren't very big, so I'm not sure how useful it is to include them. Not many of the results for ANPP_repro are significant, in some cases because we don't have a huge spread of data. The results for woody are quite interesting though; sometimes ANPP_woody and ANPP_woody_stem show a correlated response to variables, but sometimes they seem to have different results.

beckybanbury commented 5 years ago

@teixeirak There are new graphs uploaded; I made a small error in the coding for determining the best model, which has changed some of the results. It seems that for several variables the best model is a linear model, not a polynomial model as I was previously plotting (determined by the AIC values).