Quantitative Assessment of G7's Collaboration in Sustainable Development Goals

Authors:  Kai Liu ^[1], Ali Raisolsadat (arraisolsadat@uwaterloo.ca) ^[2], Xander Wang (xxwang@upei.ca) ^[3,4], and Quan Van Dau (vdau@upei.ca) ^[3,4]

Institutions:

1. School of Mathematical and Computational Sciences, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada C1A 4P3
2. Faculty of Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
3. Canadian Centre for Climate Change and Adaptation, University of Prince Edward Island, St. Peter's Bay, Prince Edward Island, Canada C0A 2A0
4. School of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada C1A 4P3

Corresponding Author: Dr. Xander Wang
Contact Information: xxwang@upei.ca

This repository contains the code and data for the project titled "Quantitative Assessment of G7's Collaboration in Sustainable Development Goals".

• sdg_raw_data: Contains the raw Sustainable Development Goals indicator data from the "Our World in Data" database.
• sdg_grouped_raw_data: Contains the raw SDG indicator data, but grouped for each goal (1-15).
• results_datasets: Contains the main results for Domestic Changes, Foreign Changes, and Synergy data in .CSV and .RData formats.
• main_manuscript_figures: Contains the 5 main figures used in the manuscript text.
• s1_s12_supplementary_figures: Contains the 12 figures from the supplementary material of the manuscript.
• partial_true_direction_un.csv: Contains the indicator directions from Table 1 of the manuscript.
• SDG_Data.xlsx: An Excel file which contains all the data used in the manuscript results in multiple sheets, including SDG raw data and results datasets.

• R: Please ensure that you have installed the latest version of the R software for your device. You can download it from CRAN.
• RStudio: It is recommended to use RStudio for running the R scripts. You can download it from RStudio's official website.

1. Download Synergy-2024-1.0.0.zip to your local computer and unzip it

2. Set the directory to the unzipped folder

3. Set the R working directory to the unzipped folder

4. Run Main Code:

   • Open and run the gross_synergy_markdown.Rmd file. This is the main code for our manuscript.
   • The resulting datasets will be saved in the results_datasets folder.

5. Generate Figure 1:

   • Open and run figure_1.R.
   • The resulting figure will be saved in the main_manuscript_figures folder.

6. Generate Figure 2:

   • Open and run figure_2.R.
   • The resulting figure will be saved in the main_manuscript_figures and s1_s12_supplementary_figures folders, respectively.

7. Generate Figure 3:

   • Open and run figure_3.R.
   • The resulting figure will be saved in the main_manuscript_figures folder.

8. Generate Figure 4:

   • Open and run figure_4.R.
   • The resulting figure will be saved in the main_manuscript_figures and s1_s12_supplementary_figures folders, respectively.

9. Generate Figure 5:

   • Open and run figure_5.R.
   • The resulting figure will be saved in the main_manuscript_figures folder.