Sources and References

Data Sources

Software

  • ArcGIS Pro and QGIS: For initial spatial data processing and formatting.
  • ArcGIS Online: For rendering the interactive web map.
  • ArcGIS Experience Builder: To build the interface of the web map.

Literature

  • Diekmann Andreas, Bruderer Heidi Enzler, Hartmann Jörg, Kurz Karin, Liebe Ulf, Preisendörfer Peter. Environmental Inequality in Four European Cities: A Study Combining Household Survey and Geo-Referenced Data. European Sociological Review, Volume 39, Issue 1, February 2023, Pages 44–66, https://doi.org/10.1093/esr/jcac028
  • Dopico Javier, Schäffer Beat, Brink Mark, Vienneau Danielle, Röösli Martin, Binz Tina Maria, Tobias Silvia, Bauer Nicole, Wunderli Jean Marc. Investigating the associations between road traffic noise exposure at home, green spaces and stress biomarkers: A cross-sectional field study. Urban Forestry & Urban Greening, Volume 117, 2026, 129291, ISSN 1618-8667, https://doi.org/10.1016/j.ufug.2026.129291.
  • European Environmental Agency (2025). "Environmental noise in Europe 2025". ISBN: 978-92-9480-765-6. doi: 10.2800/5134480
  • Fabrikant, S. I. (2026). Geovisualization [Lecture slides, GEO454]. University of Zurich.
  • Garlandini, S., & Fabrikant, S. I. (2009). Evaluating the effectiveness and efficiency of visual variables for geographic information visualization. In K. Stewart Hornsby, C. Claramunt, M. Denis, & G. Ligozat (Eds.), Spatial information theory: 9th international conference, COSIT 2009, Aber Wrac'h, France, September 21-25, 2009. Proceedings (pp. 195-211). Springer. https://doi.org/10.1007/978-3-642-03832-7_12
  • Havard S, Reich BJ, Bean K, Chaix B. Social inequalities in residential exposure to road traffic noise: an environmental justice analysis based on the RECORD Cohort Study. Occup Environ Med. 2011 May;68(5):366-74. doi: 10.1136/oem.2010.060640. Epub 2011 Jan 27. PMID: 21273211.
  • Hildén, J. (2022). Bivariate hue blending: Color scale design for bivariate choropleth maps with a custom tool.
  • MacEachren, A. M., & Kraak, M.-J. (2001). Research challenges in geovisualization. Cartography and Geographic Information Science, 28(1), 3-12. https://doi.org/10.1559/152304001782173970
  • MacEachren, A. M., Roth, R. E., O'Brien, J., Li, B., Swingley, D., & Gahegan, M. (2012). Visual semiotics and uncertainty visualization: An empirical study. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2496-2505.
  • Robinson, A. C., Demšar, U., Moore, A. B., Buckley, A., Jiang, B., Field, K., Kraak, M.-J., Camboim, S. P., & Sluter, C. R. (2017). Geospatial big data and cartography: Research challenges and opportunities for making maps that matter. The International Journal of Cartography, 3(sup1), 32-60. https://doi.org/10.1080/23729333.2016.1278151
  • Robinson, A. C., et al. (2017). Geovisual analytics.
  • Roth, R. E. (2013a). Interactive maps: What we know and what we need to know. Journal of Spatial Information Science, 6, 59-115. https://doi.org/10.5311/JOSIS.2013.6.105
  • Ware, C. (2013). Information visualization: Perception for design.
  • Wolfe, J. M., & Horowitz, T. S. (2004). What attributes guide the deployment of visual attention and how do they do it? Nature Reviews Neuroscience, 5(6), 1-15.
  • World Health Organization, 2018. "Environmental noise guidelines for the European region." ISBN: 978-92-890-5356-9

AI statement

  • We used Antigravity to help us with the code for the website.
  • We used ChatGPT and Perplexity as "tech-support" during our analysis in ArcGIS Pro.
  • ChatGPT and Perplexity were also used for text writing (translations, reformulations, help with literature search). All formulations were checked and adjusted before implementation.

We confirm that we have checked the accuracy of the AI-generated content to the best of our knowledge and beliefs, and we declare that we personally take the full responsibility for this human-machine collaboration outcome.