Modelling notes

[sdtaylor]

• [ ] return with the models from the paper
• [ ] subset to correct ecoregions. will have to run all models on full dataset, then subset them afterwords
• [x] pull in data back to 1980 for better anomaly calculation
• [x] get temp/precip summaries
• [ ] anomaly will be the percentage of mean (AnnualValue_year / AnnualValue_mean), need to emphasize when it's lower/higher than average.
• [x] confirm fCover and not gcc is being returned
• [ ] double check math for mean/std of values being calculated correctly on anomalies in dash_test.py

[sdtaylor]

For anomaly, maybe subtract 1, so when its less than average its less than 0.