About Our Visualisation

Life is dynamic. Movement of people, inseparable from systemic changes of globalisation, is one of the key traits of modern states and cities with an estimated 175 million people migrating to another country for living in the year 2000. Today, at the country level, the tension between international migration and growth of national interests often calls for the strengthening of international cooperation (Doyle, 2004). However, cities are not isolated, they are holding the majority of populations in countries and are the principal nodes of national and transnational migration networks. As a result, we focus on this interconnectedness that defines the places people inhabit.
Therefore this whole project outlines our approach to exploring and visualising population movement in a dynamic world and its cities. It speaks to the theme of Living Cities whereby we equate living with the dynamism of movement. It is separated into two parts, international and national with China as a case study where we explore population movement/migration patterns as well as approaches used to effectively visualise these findings.
Research Questions
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Combining international migration and visualisation together to explore the central
phenomenon of the globalised world in a clear and concise manner, and then based on past research, can we observe the continuation of previous trends?
With implications on our understanding of migration as well as a further standardisation of open data that could be refreshed regularly and provide a baseline of magnitude through which to contextualise a country’s own migration as well as contrast the numbers of national (internal) and international migration respectively. -
Given the proliferation and access to alternative
data sources, can mobile positioning data be used as a proxy dataset for formal internal migration sources?
This question is divided into two parts:1. Do the daily movements of people follow the direction and intensity suggested by annual statistics from official sources?
2. Can any seasonal patterns we discerned from the data?
Design Principles
We have tightly integrated the following 3 concepts into our visualization from (Kirk, 2016).
TRUSTWORTHINESS
"This principle is related to the basic completeness, accuracy and legality of any data visualization you generate. Good design is honest. It does not make the product look more innovative, functional or valuable than the actual product. It does not try to manipulate the reader with promises that cannot be fulfilled.""
ACCESSIBILITY
"This principle is about good visual design and helps you judge the audience's understanding process in the best way. It can often be described as a good design that makes the product useful, makes the product easy to understand, and unobtrusive."
ELEGANCE
"The elegant design aims to seek a visual effect to attract the audience and maintain this emotion throughout the experience, not just the initial moment of engagement. Any choice you make to achieve "elegance" must not compromise the trustworthy and accessible principles"
Our projects
- All
- International Level
- National Level
Future Improvements
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Improve data processing capabilities.
Due to the large data, mapbox will have some stagnation during data visualization, so we may consider using multithreading in the future, which may improve the performance of mapbox to a certain extent.
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Increase data samples.
Due to the limitation of the amount of data, we can only get the top 10 cities with the highest travel hot degree. If the technology allows in the future and the data is feasible, this data sample can be expanded.
Our Team
The following is the introduction of our 4 team members

Antonios
Originally from Greece, Worked from UKMy objectives thus far have involved using my knowledge and abilities to bring people together and have a positive impact on those around us.

Xiang Zhou
Originally from China, Worked from China and UKKeen on product interaction design, user growth strategies, and smart city startup projects in China.

Xin Zhao
Originally from China, Worked from ChinaMy research interests are data presentation and visualization, using different kinds of interactive methods.

Yang Diqiu
Originally from China, Worked from UKMy research interest is data analysis and I like to do things related to data.