Cartograms have been used to visualize quantitative data about a set of regions, such as infected patients of COVID-19 in various countries. However, tracing the daily changes or monthly change is difficult due to the move of the government and quarantine policy. Johns Hopkins University is the pioneering institution that collected a series of information on corona distribution, and thus, it allows us to revisit the influence of different policies.
In this project, the student will investigate dynamic cartograms to present data in a storytelling fashion. You are required to develop an algorithm to extract and highlight essential changes and handle the consistency of dynamic visual representation.
Data from Johns Hopkins University https://github.com/CSSEGISandData/COVID-19
Some references: https://pure.tue.nl/ws/files/90083986/MosaicMapsRevised.pdf
- Knowledge of English language (source code comments and final report should be in English)
- Knowledge of web based APIs is advantageous
- More knowledge is always advantageous
The project should be implemented as a web-based application (to be discussed).