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Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation

Published 13 Mar 2024 in cs.HC | (2403.08260v1)

Abstract: Maps are crucial in conveying geospatial data in diverse contexts such as news and scientific reports. This research, utilizing thematic maps, probes deeper into the underexplored intersection of text framing and map types in influencing map interpretation. In this work, we conducted experiments to evaluate how textual detail and semantic content variations affect the quality of insights derived from map examination. We also explored the influence of explanatory annotations across different map types (e.g., choropleth, hexbin, isarithmic), base map details, and changing levels of spatial autocorrelation in the data. From two online experiments with $N=103$ participants, we found that annotations, their specific attributes, and map type used to present the data significantly shape the quality of takeaways. Notably, we found that the effectiveness of annotations hinges on their contextual integration. These findings offer valuable guidance to the visualization community for crafting impactful thematic geospatial representations.

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References (52)
  1. Anthony J Aretz. 1991. The Design of Electronic Map Displays. Human Factors 33, 1 (1991), 85–101. https://doi.org/10.1177/001872089103300107
  2. Beagle: Automated Extraction and Interpretation of Visualizations from the Web. In In Proceedings of the ACM Conference on Human Factors in Computing Systems. 1–8. https://doi.org/10.1145/3173574.3174168
  3. Beyond Memorability: Visualization Recognition and Recall. IEEE Transactions on Visualization and Computer Graphics 22, 1 (2015), 519–528. https://doi.org/10.1109/TVCG.2015.2467732
  4. What Makes a Visualization Memorable? IEEE Transactions on Visualization and Computer Graphics 19, 12 (2013), 2306–2315. https://doi.org/10.1109/TVCG.2013.234
  5. D33{}^{3}start_FLOATSUPERSCRIPT 3 end_FLOATSUPERSCRIPT Data-Driven Documents. IEEE Transactions on Visualization and Computer Graphics 17, 12 (2011), 2301–2309. https://doi.org/10.1109/TVCG.2011.185
  6. Rick L Bunch and Robert Earl Lloyd. 2006. The Cognitive Load of Geographic Information. The Professional Geographer 58, 2 (2006), 209–220. https://doi.org/10.1111/j.1467-9272.2006.00527.x
  7. Measuring the Effectiveness of Static Maps to Communicate Changes over Time. IEEE Transactions on Visualization and Computer Graphics (2022), 1–13. https://doi.org/10.1109/TVCG.2022.3188940
  8. How Does Automation Shape the Process of Narrative Visualization: A Survey of Tools. IEEE Transactions on Visualization and Computer Graphics (2023), 1–20. https://doi.org/10.1109/TVCG.2023.3261320
  9. Andrew David Cliff and J Keith Ord. 1981. Spatial Processes: Models & Applications. Taylor & Francis.
  10. Andrew D Cliff and Keith Ord. 1970. Spatial Autocorrelation: A Review of Existing and New Measures with Applications. Economic Geography 46, sup1 (1970), 269–292. https://doi.org/10.2307/143144
  11. Robert G Cromley. 1996. A Comparison of Optimal Classification Strategies for Choroplethic Displays of Spatially Aggregated Data. International Journal of Geographical Information Systems 10, 4 (1996), 405–424. https://doi.org/10.1080/02693799608902087
  12. Danny Debelius. 2015. Let’s Tesselate: Hexagons for Tile Grid Maps. http://blog.apps.npr.org/2015/05/11/hex-tile-maps.html
  13. Borden D Dent. 1972. Visual Organization and Thematic Map Communication. Annals of the Association of American Geographers 62, 1 (1972), 79–93. https://doi.org/10.1111/j.1467-8306.1972.tb00845.x
  14. Borden D Dent. 1999. Cartography: Thematic Map Design. Ingram.
  15. David J Fairbairn. 1993. On the Nature of Cartographic Text. The Cartographic Journal 30, 2 (1993), 104–111. https://doi.org/10.1179/000870493787860157
  16. FEMA. 2023. National Risk Index Map. https://hazards.fema.gov/nri/map Accessed on Sept. 13, 2023.
  17. Robert C Geary. 1954. The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician 5, 3 (1954), 115–146. https://doi.org/10.2307/2986645
  18. Michael F Goodchild. 2003. Geographic Information Science and Systems for Environmental Management. Annual Review of Environment and Resources 28, 1 (2003), 493–519. https://doi.org/10.1146/annurev.energy.28.050302.105521
  19. Marlynn M Griffin and Daniel H Robinson. 2005. Does Spatial or Visual Information in Maps Facilitate Text Recall? Reconsidering the Conjoint Retention Hypothesis. Educational Technology Research and Development 53, 1 (2005), 23–36. https://doi.org/10.1007/bf02504855
  20. Mark Harrower and Cynthia A Brewer. 2003. ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps. The Cartographic Journal 40, 1 (2003), 27–37. https://doi.org/10.1179/000870403235002042
  21. Marti Hearst and Melanie Tory. 2019. Would You Like A Chart With That? Incorporating Visualizations into Conversational Interfaces. In In Proceedings of IEEE Visualization Conference. IEEE, 1–5. https://doi.org/10.1109/VISUAL.2019.8933766
  22. Jessica Hullman and Nick Diakopoulos. 2011. Visualization Rhetoric: Framing Effects in Narrative Visualization. IEEE Transactions on Visualization and Computer Graphics 17, 12 (2011), 2231–2240. https://doi.org/10.1109/TVCG.2011.255
  23. George F Jenks and Fred C Caspall. 1971. Error on Choroplethic Maps: Definition, Measurement, Reduction. Annals of the Association of American Geographers 61, 2 (1971), 217–244. https://doi.org/10.1111/j.1467-8306.1971.tb00779.x
  24. Towards Understanding How Readers Integrate Charts and Captions: A Case Study with Line Charts. In Proceedings of the ACM Conference on Human Factors in Computing Systems. 1–11. https://doi.org/10.1145/3411764.3445443
  25. Frames and Slants in Titles of Visualizations on Controversial Topics. In Proceedings of the ACM Conference on Human Factors in Computing Systems. 1–12. https://doi.org/10.1145/3173574.3174012
  26. Vlat: Development of a Visualization Literacy Assessment Test. IEEE Transactions on Visualization and Computer Graphics 23, 1 (2016), 551–560. https://doi.org/10.1109/TVCG.2016.2598920
  27. Pierre Legendre. 1993. Spatial Autocorrelation: Trouble or New Paradigm? Ecology 74, 6 (1993), 1659–1673. https://doi.org/10.2307/1939924
  28. GeoLinter: A Linting Framework for Choropleth Maps. IEEE Transactions on Visualization and Computer Graphics (2023), 1–16. https://doi.org/10.1109/TVCG.2023.3322372
  29. GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation. IEEE Transactions on Visualization and Computer Graphics (2023), 1–11. https://doi.org/10.1109/TVCG.2023.3327359
  30. Geographic Information Systems and Science. John Wiley & Sons.
  31. Alan Lundgard and Arvind Satyanarayan. 2021. Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content. IEEE Transactions on Visualization and Computer Graphics 28, 1 (2021), 1073–1083. https://doi.org/10.1109/TVCG.2021.3114770
  32. Patrick AP Moran. 1950. Notes on Continuous Stochastic Phenomena. Biometrika 37, 1/2 (1950), 17–23. https://doi.org/10.2307/2332142
  33. Ian Muehlenhaus. 2013. Web Cartography: Map Design for Interactive and Mobile Devices. CRC Press.
  34. Shaun O’Brien and Claire Lauer. 2018. Testing the Susceptibility of Users to Deceptive Data Visualizations When Paired with Explanatory Text. In Proceedings of the ACM Conference on the Design of Communication. 1–8. https://doi.org/10.1145/3233756.3233961
  35. Judy M Olson. 1975. Autocorrelation and Visual Map Complexity. Annals of the Association of American Geographers 65, 2 (1975), 189–204. https://doi.org/10.1111/j.1467-8306.1975.tb01030.x
  36. The Curious Case of Combining Text and Visualization. In Proceedings of the IEEE VGTC/Eurographics Symposium on Visualization. 121–125. https://doi.org/10.2312/evs.20191181
  37. Joao Pinheiro and Jorge Poco. 2022. ChartText: Linking Text with Charts in Documents. arXiv (2022). https://doi.org/10.48550/arXiv.2201.05043
  38. Timothy Prestby. 2022. Design Techniques for COVID-19 Story Maps: A Quantitative Content Analysis. Cartography and Geographic Information Science (2022), 1–20. https://doi.org/10.1080/15230406.2022.2102077
  39. An evaluation of sampling and full enumeration strategies for Fisher Jenks classification in big data settings. Transactions in GIS 21, 4 (2017), 796–810.
  40. Application of Geographic Information System in Monitoring and Detecting the COVID-19 Outbreak. Iranian Journal of Public Health 49, Suppl 1 (2020), 114. https://doi.org/10.18502/ijph.v49iS1.3679
  41. Thomas C Ricketts. 2003. Geographic Information Systems and Public Health. Annual Review of Public Health 24, 1 (2003), 1–6. https://doi.org/10.1146/annurev.publhealth.24.100901.140924
  42. Robert E Roth. 2021. Cartographic Design as Visual Storytelling: Synthesis and Review of Map-based Narratives, Genres, and Tropes. The Cartographic Journal 58, 1 (2021), 83–114. https://doi.org/10.1080/00087041.2019.1633103
  43. Thematic Cartography and Geographic Visualization. Prentice Hall.
  44. Richard M Smith. 1986. Comparing Traditional Methods for Selecting Class Intervals on Choropleth Maps. The Professional Geographer 38, 1 (1986), 62–67. https://doi.org/10.1111/j.0033-0124.1986.00062.x
  45. John Parr Snyder and Philip M Voxland. 1989. An Album of Map Projections. Number 1453. US Government Printing Office.
  46. Visual Storytelling with Maps: An Empirical Study on Story Map Themes and Narrative Elements, Visual Storytelling Genres and Tropes, and Individual Audience Differences. Cartographic Perspectives (2022). https://doi.org/10.14714/CP100.1759
  47. Chase Stokes and Marti A Hearst. 2021. Give Text a Chance: Advocating for Equal Consideration for Language and Visualization. In IEEE Workshop on Exploring Opportunities and Challenges for Natural Language Techniques to Support Visual Analysis.
  48. Striking a Balance: Reader Takeaways and Preferences when Integrating Text and Charts. IEEE Transactions on Visualization and Computer Graphics 29, 1 (2022), 1233–1243. https://doi.org/10.1109/TVCG.2022.3209383
  49. Walter W Stroup. 2012. Generalized Linear Mixed Models: Modern Concepts, Methods and Applications. CRC press.
  50. Caroline J Tolbert and Karen Mossberger. 2015. US Current Population Survey & American Community Survey Geographic Estimates of Internet Use, 1997–2014. Harvard Dataverse 4 (2015). https://doi.org/10.7910/DVN/UKXPZX
  51. What’s in a name? Data Linkage, Demography and Visual Analytics. In Proceedings of the IEEE VGTC/Eurographics Symposium on Visualization in Visual Analytics Workshop. 7–11. https://doi.org/10.2312/eurova.20141143
  52. Anthony GO Yeh. 1999. Urban Planning and GIS. Geographical Information Systems 2, 877-888 (1999), 1.
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