amorphous
Data Visualization | Digital Design | Machine Learning
FALL 2022
As technological advancement emerges and keeps evolving, our world could be represented through a series of data showcasing the past, current, and future. Generating simple charts and tables allows us to discern data patterns and trends, yet, digital media opens up innovative ways to interact with and interpret data. Amorphous investigates into how might we transfer the obscured data from numerical form to a more intuitive visual interpretation. By utilizing visual coding this project speculates “digital creature” that is born with and emerged from raw data.
In collaboration with: Sean Meng, Shrinethraa Kumar, Shuocheng Li
By integrating datasets with the visual elements of the model and layering various visual information, the visualization illustrates the trends of historical climate change through alterations in motion, shape, and color. Adding a location map and data values facilitates a straightforward linkage between visual cues and data inputs. By presenting and comparing data across all 18 countries, we gain insights into the average severity of climate change, its progression over time, and the geographical distinctions among the countries.
DATA
VISUALIZATION
This synthetic representation of data through movement, form, and color changes effectively communicates historical climate change trends. This multifaceted visualization not only showcases the potential of digital media to interpret complex data but also highlights the importance of a global perspective in understanding climate change's impact.
