Data Analytics /Visualization /Tangible Interaction /Architectural /Urban Design
Isotherm
2017/04
The isotherm visualization was based on the historical meteorological data retrieved from weather underground website. The footage showed the mean temperature change of continental US from 2001/3/1 to 2016/2/28.
The data was linear interpolated for missing data. While creating the visualization, the delaunay triangulation mesh was implemented according to the geographical locations of the 66 US cities, followed by a filled color interpolation inside the triangle mesh. The algorithm of meandering triangles was implemented for isovalues, followed by a B spline interpolation using breadth-first algorithm for smooth contours.
The visualization was implemented using the Visualization Toolkit (VTK) and Python.
This was a Scientific Visualization coursework project of Purdue University.
Role in team:
Lead developer and designer