VAST · Sonnet · C3 — citations

Vastopolis outbreak investigation. Citation list (design cites library workflows formalised in ATWL).

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C3 Citation list (design cites library workflows formalised in ATWL)

Here is the list of papers from which I drew relevant approaches for the Vastopolis workflow recommendation, with full citations as given in the library:

  1. Andrienko, G., Andrienko, N., Hurter, C., Rinzivillo, S., & Wrobel, S. (2011). From movement tracks through events to places: Extracting and characterizing significant places from mobility data. In 2011 IEEE Conference on Visual Analytics Science and Technology (VAST), pages 161–170. doi: 10.1109/VAST.2011.6102454 (Workflow: "Extracting significant places from trajectories" / events-to-places — spatio-temporal aggregation and two-stage density clustering, adapted for zone-level incidence aggregation and fine-grained origin localisation.)

  2. Andrienko, N., Andrienko, G., Artikis, A., Mantenoglou, P., & Rinzivillo, S. (2024). Human-in-the-Loop: Visual Analytics for Building Models Recognizing Behavioral Patterns in Time Series. IEEE Computer Graphics and Applications, 44(3), 14–29. doi: 10.1109/MCG.2024.3379851 (Workflow: "Feature engineering for behaviour pattern recognition" / behaviour-pattern-recognition-in-time-series — iterative criteria/feature-refinement loop pattern underlying the extraction-validation loop.)

  3. Wyss, A., Morgenshtern, G., Hirsch-Hüsler, A., & Bernard, J. (2025). DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing — A Design Study. IEEE Transactions on Visualization and Computer Graphics, 31(1), 54–64. doi: 10.1109/TVCG.2024.3456329 (Workflow: "DaedalusData workflow" — interactive labelling/refinement loop pattern informing the extraction-criteria refinement loop.)

  4. Andrienko, G., Andrienko, N., Akila, M., Kathirgamanathan, B., & Ponce-de-Leon, M. (2026). Detecting Stable Cross-Impact Patterns in Bivariate Time Series. IEEE Transactions on Visualization and Computer Graphics, 32(7), 5996–6013. doi: 10.1109/TVCG.2026.3676810 (Workflow: "Detecting Stable Cross-Impact Patterns in Bivariate Time Series" — lagged cross-impact detection methodology, adapted here for testing wind vs. incidence correlation under the airborne-transmission hypothesis.)

  5. Bauer, R., Barth, C.-M., Cuba, E., Meier, A., Peiris, Y., & Shneiderman, B. (2025). IVESA – Visual Analysis of Time-Stamped Event Sequences. IEEE Transactions on Visualization and Computer Graphics, 31(4), 2235–2256. doi: 10.1109/TVCG.2024.3382760 (Workflow: "IVESA workflow" — metadata relation-seeking multi-view design pattern underlying the multi-view hypothesis-testing arrangement in Phase 3.)

  6. Sachdeva, M., Burmeister, J., Kohlhammer, J., & Bernard, J. (2023). LFPeers: Temporal similarity search and result exploration. Computers & Graphics, 115, 81–95. doi: 10.1016/j.cag.2023.06.009 (Workflow: "LFPeers workflow" — correlation-exploration loop pattern (query → compute → visualise → assess → refine) underlying the iterative hypothesis-testing loop in Phase 3.)