Data and Codes for Kim et al. "Discovering the Multisectoral Impacts of the Global Energy Sector Outcomes through Diverse Cross-ensemble Aggregation Measures"

Published: 15 July 2024| Version 1 | DOI: 10.17632/td39m384bx.1
Contributor:
Gi Joo Kim

Description

This publication includes the necessary data and codes to replicate & generate the figures from Kim et al. "Discovering the Multisectoral Impacts of the Global Energy Sector Outcomes through Diverse Cross-ensemble Aggregation Measures," currently under review.

Files

Steps to reproduce

Below are the steps to reproduce the generated data & figures from Kim et al. "Discovering the Multisectoral Impacts of the Global Energy Sector Outcomes through Diverse Cross-ensemble Aggregation Measures," currently under review. 1. The code to run the ensemble and query output databases is available at https://doi.org/10.5281/zenodo.10895134. 2. Queried data from 1. should be used to compute metrics, following the codes & instructions in "1_Metric_Calculation.ipynb." 3. Computed metrics should be used to generate figures in the manuscript (Figures 1-8), following the codes & instructions in "2_Figure_Generation.ipynb." 4. To fit & compute feature importance scores using classification trees, follow the codes & instructions in "3_Classification_Tree.R."

Institutions

Tufts University

Categories

Data Analytics

Licence