Johannes Eschner
Tobias Ruttner
In this project an implementation of the modified LBG Stippling algorithm from Goertler et al. is used to visualize several different datasets. The first dataset contains information on the spread of Covid-19 in the US. Here stippling is used to represent the relative densitiy of case numbers throughout the US. The second dataset is a height map, where stipple densities are used to represent the height values for a more intuitive visual representation. The third dataset is a test dataset of a linear gradient that was added to intuitively showcase the power of the stippling algorithm.
One of the main findings of this project was that the stippling approach is not equally effective for all kinds of data. In case of the Covid-19 cases the per-county availabiliy of the data made it quite difficult to create meaningful stippling results when the data was sparse.
To view and interact with a dataset click on the respective card above.
