- The relationship between temperature and sea level rise.
Data visualization is an effective way for more non-professionals to understand the data better and spread it out through media like Instagram to achieve the purpose of publicity and motivation.
Nowadays, the environmental problems of the earth are becoming increasingly severe. Among them, the rise of sea levels is a significant issue. Rising sea levels will bring many problems, such as shrinking islands, flooding residents, destroying people's homes, increasing government investment in maritime defence, frequent extreme sea level events, etc. To attract more people's attention and call on them to take measures to protect the environment, I chose this theme for data visualization and planned to upload it to Instagram for more people to see.
In scientific reports and news, sea level rise and global warming always appear together. The increase in sea level is mainly due to the melting of glaciers. The most direct cause of glacial melting is the rise in temperature, including the climate and sea surface temperature. Here, I have selected the three sets of data from different areas in Australia-sea level (1991-2020 ), sea surface temperature (1910-2015), and climatic temperature (1910-2019), and visualized their changes by combining the characteristics of INS to achieve the effect of promoting global warming and protecting sea levels by design these charts.
The first chart is about sea level rise.
I have selected three locations in Australia
-Cape Ferguson, Darwin and Cocos (Keeling).
These three sets of data have changed dramatically in Australia. From 1991 to 2020, take an average every five years to compare sea level rise over the years.
The use of human images to express is to make the audience resonate and make them realize that the rise of sea level will cause harm to human beings. With the rising sea level, the coloured parts of characters are also increasing, just like the sea water is slowly passing through the human, which can bring a sense of oppression, thus acting as a call for publicity.
The second is the difference in the ocean surface temperature and the average temperature from 1961 to 1990 in three areas of Australia. From 1910 to 2015.
One data was selected every five years to form a graph of changes over the years. The changes in the difference can be perfect for showing the rising trend because of the unique nature of social networks, people don’t need the specific data, but the shock which bright colours and change trends can bring and the overall rising trend will make people more stimulated. Similarly, the change in colour echoes the temperature change from excellent to warm colours.
Finally, there is a small freeze animation. The dynamic image keeps viewers longer, which is crucial on social media software.
The difference between each state's average annual temperature and 1961-1990 is divided into eight levels, and each group is 0.5 degrees. Below 0 degrees is represented by cold tones, and above 0 degrees is characterised by warm tones. At the same time, the larger the absolute value of the difference, the larger the area of its points. This way, changes in colour and size can bring a double effect. Since 2000, each frame has stayed longer to enhance the audience's memory of high temperature.