This repo contains the visualization work done for the Global Climate Stocktake for COP 27.
The main content for our work is present in this PowerPoint: https://docs.google.com/presentation/d/1YI9gDvCE1DEjRtZwkCesKcEe6cFkYfe0Ge14Q1u_nHY/edit#slide=id.g169d82bf8ac_0_94. It details the methodology and the work we have done throughout this Datathon.
- Final Scores - https://docs.google.com/spreadsheets/d/1uiO3kF2j27bhb76djWVFGvNJqPj05w6En_NWgMWSNWs/edit#gid=1412219002
- Indicators 1 & 2 - https://docs.google.com/spreadsheets/d/1-zZaKf66NAovfZXGqFS_JeGfoTfxTLWtUXiTl2o2j0Y/edit#gid=479025173
- Indicators 3 https://docs.google.com/spreadsheets/d/15KJOzFkmxNZFA5-u6BIsS0rJlIVsOHc-sb5qY_-395w/edit#gid=1604765395
This is a mockup that we created for the website to showcase our work - https://www.figma.com/file/bSNOC6INrVZyNOzCXzAZya/COP27-GST-Datathon?node-id=0%3A1
Under Construction website resources have been captured here: https://drive.google.com/drive/folders/1gQxjdi0H_c5q5DzJjv9xj-kT5tBayHIA
This repo contains the code for the 3D visualizations as well. The visualizations can be seen at - https://iofall.github.io/Climate-Datathon-COP27/ and are based on the methodology described in our slide.
To run this locally, clone the repo - git clone https://github.com/iofall/Climate-Datathon-COP27.git and just open the HTML file using a server (to avoid CORS issue from reading local files).
We also had some sensitive datasets that we covered in this repo - https://github.com/DavidSmithPeregrine/Climate-DataThon-2022 which has already been shared with the organizers.
- Globe.gl - Used to create the rendered globe. Country GeoJSONs were also made available through this JS library.
- d3.js - Used to read and parse our dataset in the form of CSVs.
- color-legend-element - Used to make the dynamic legend.
- Twemoji - For Favicon.