Topics for documentation about piaminterfaces HOT 1 CLOSED

If you have a IIASA xlsx or mif file that is appropriately filtered (in particular, make sure the model regions are not too different), you can for example run (after updating piamInterfaces and quitte):

mifFile <- quitte::quitte_example_dataAR6       # or whatever file you have
piamInterfaces::plotIntercomparison(mifFile, summationsFile = "AR6", lineplotVariables = c("Temperature|Global Mean", "Population"))

and you get a PDF document for each scenario and each model with area plots for all the summation groups in AR6 (or NAVIGATE) summation files plus line plots for each variable in the vector you supplied. It is a start, I guess, feel free to test it with your data. (for larger files, please start a slurm job, it takes some time):

sbatch --qos=priority --wrap="Rscript -e 'piamInterfaces::plotIntercomparison(\"/p/tmp/oliverr/data/R5_World_IAM_data_3.4.xlsx\", summationsFile = \"AR6\", lineplotVariables = c(\"Temperature|Global Mean\", \"Population\"))'"

The area plots are in alphabetical order, the line plots in the order you selected. We may improve that at some point or define standard line plots that are often used to avoid having to pass a large vector to the function.

from piaminterfaces.