Some analysis from the outcome of the MoTMo agent-based model
- Link for downloading the dataset: https://www.zib.de/tes-data-sets/data/motmo.zip
- Original paper of the ABM: https://globalclimateforum.org/wp-content/uploads/2021/04/GCFwp2_2021.pdf
- The file
MoTMo-scenarioDataExplainer.pdfalso has a summary description of the dataset (it is included in themotmo.zipfile if you download it).
Inside the jupyter_notebooks folder you can find a notebook called 1data_challenge that includes the results of the sensitivity analysis (not analyzed) for each of the categories. We have also created a module called MoTMo.py which was imported into the notebook as mo. You can check out the functions defined there, some of them have an explanation or are self-explanatory.
More recently, we have added another notebook 2data_chall_indiv_options that includes a more detailed analysis of the individual options.
We have also included another notebook called SALib_analysis which is the result for total emissions of a Python package called SALib that makes these analysis, but we made a further transformation of the input space. It might also be interesting to take a look at it, but it is not very tidy and we did not included it into the report.
For any questions, do not hesitate to contact us.