This repository contains the implementation of COVID-19 and World Trade, a web storymap project in Cartography Lab FS 2021 at ETH Zurich.
Group members: Jingyan Li, Yuanwen Yue
Supervisor: Dr. Christian Häberling
Professor: Prof. Dr. Lorenz Hurni
The project aims to give users an overview of the global economy and trade trends under the COVID-19 pandemic by web-based visualization methods. Through the interactive visualization of economic and trading-related data, users may understand how the global trade and economy is affected from the pre-COVID period to now.
The realization of the project is a web-based story map, with multimedia, interactive charts and maps. We set the project at global scale, but the trade trend and trading-related policies in China is the case study in the story map.
In the story map, we firstly introduced the development of COVID-19 and its impact on the world. Then we elaborated the global economy during COVID-19, especially comparing it with the Global Financial Crisis in 2008. In the next section, the global trade trend was explained. We also showed the divergent trade trend across countries - some countries (e.g., China) performed better in the trading recovery. Later, China was as a case study to show the details of its trade structure during COVID-19. Setting the origin country as China, we visualized the trade flow and the composite of its imports and exports of goods in 2020. The visualization of such data could be a tool to help users explore the reason why China became an exception under the downturns of trade markets. We further introduced the trading-related policies and measurements taken by China to deal with the pandemic. Finally, we gave an outlook to the post-pandemic period.
We assume the target groups as citizens who can get knowledge of how the world trade was impacted by COVID-19. The product could tell a simple but clear story about the world economy and trading during the pandemic. Please refer more details in the technical report.
npm install
npm run serve
Your browser should be opened automatically at http://localhost:8080
npm run build
Jingyan Li & Yuanwen Yue. All rights reserved.