2023
2024 IEEE VIS Arts Exhibition: Diverse DataOctober 13 - 18 2024, St. Pete Beach, FL USA
DESCRIPTION
One of the pressing consequences of carbon-fueled climate change is its direct link to various forms of natural disasters.
These disasters range from wildfires and floods, to tsunamis and earthquakes. in the fallout of these disasters many people become displaced from their homes. By the year 2050 it is estimated that 140 million people will be displaced from their home countries of Sub-Saharan Africa, South Asia, and Latin America due to these disasters (World Bank).
As a result it is of increasing inportance to address the impacts of climate change and not only the effects on the environment, but also on the world’s inhabitants.
ABOUT THE DATA
The dataset was publicaly acquired from the Internal Displacement Monitoring Centre and represents collected global internal displacement data. the visualization displays displacement data from the years of 2008 - 2022. each data point includes the location, date, disaster category, and displaced person count for the logged event.
In this visualization the date of the event corresponds with its position within a clockwise rotation. each petals length represents the relative number of people displaced due to the natural disaster. additionally, the disaster category is represented through the color of the petal.
VISUALIZATION CREATION
To create the visual representation of the flowers, attractors, repellers, and nodes are utilized within the Processing environment. I first initialize a repeller at a position around the circle corresponding to the date the natural disaster took place. In the same location I also initialize a set of nodes. Next, an attractor is positioned across from the repeller at a mapped distance, determined by total displacement. When the repeller and attractor are activated each node’s x and y position and velocity vector components are then appropriately updated to reflect its new position within the scene.
DIAGRAM FOR FURTHER EXPLANATION