VisTaxa: Developing a Taxonomy of Historical Visualizations

May 03, 2025 Β· Declared Dead Β· πŸ› IEEE Transactions on Visualization and Computer Graphics

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Yu Zhang, Xinyue Chen, Weili Zheng, Yuhan Guo, Guozheng Li, Siming Chen, Xiaoru Yuan arXiv ID 2505.01724 Category cs.HC: Human-Computer Interaction Cross-listed cs.DL Citations 1 Venue IEEE Transactions on Visualization and Computer Graphics Last Checked 4 months ago
Abstract
Historical visualizations are a rich resource for visualization research. While taxonomy is commonly used to structure and understand the design space of visualizations, existing taxonomies primarily focus on contemporary visualizations and largely overlook historical visualizations. To address this gap, we describe an empirical method for taxonomy development. We introduce a coding protocol and the VisTaxa system for taxonomy labeling and comparison. We demonstrate using our method to develop a historical visualization taxonomy by coding 400 images of historical visualizations. We analyze the coding result and reflect on the coding process. Our work is an initial step toward a systematic investigation of the design space of historical visualizations.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Human-Computer Interaction

Died the same way β€” πŸ‘» Ghosted