Design Statement

When reading literature related to climate change, we can clearly see the impact of climate change on our lives from social, economic, disease, and technological levels. We can find environmental systems deeply embedded in our world as a hyperchaotic system, intermingling with many equally complex and diverse chaotic systems. But in this process, many concepts are abstracted and simplified, which makes their expression tend to be single and monotonous. 
Although we can analyze the impact of this phenomenon on our lives from many angles and act as much as possible, it seems that the more dimensions we focus on and the richer the angles we consider, the more restricted we can do. Nonetheless, there are still many things that we can actively take action on; therefore, we have chosen this data visualization as our contribution to the growing problem of climate change.
Through this data visualization project, we tried to display some data related to climate change in a more intuitive and vivid way. This not only frees the viewer from repetitive and tedious data presentations of pie and line graphs but also brings the general public to a more relevant level of understanding of climate change in their personal life. In addition, such data display effects can also serve as a reference for decision-makers in companies and urban planning. 
For example, the transportation mode data we used in this exhibition came from the Mesa area. Such an intuitive display effect enables bike-sharing companies concerned with the market in this region to configure their equipment better. It can also allow government departments to construct more efficiently when planning infrastructures such as bus stations and electric vehicle charging piles.
The purpose of this design is to allow everyone to extract meaningful information from similar climate change-related data visualization projects. Through the use of 3D modeling software such as Blender, we can convert map models into editable 3D models and import them into a data visualization program like TouchDesigner to explore visualization effects.
We obtained data related to climate change through the U.S. Census website from Mesa, a city very close to us because we wanted our stakeholders to see how close the subject was to their lives. The type of data we chose was related to transportation because we think that is one of the data types that are very suitable for visualization. 
Although we encountered some technical difficulties during the production process, such as importing data and selecting suitable data, as well as the presentation of their moving trajectories, we finally overcame these difficulties and presented our audience with a data visualization that we are very satisfied with the effect.