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Visualising Communicative Effectiveness in Cartograms and Choropleth Maps: An Analysis of Mobile App Usage Data

Explore the effectiveness of visualizing mobile app usage data through cartograms and choropleth maps. Discover alternative mapping options and understand how data can be communicated effectively to diverse audiences. Analyze test results and implications for future map development.

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Visualising Communicative Effectiveness in Cartograms and Choropleth Maps: An Analysis of Mobile App Usage Data

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  1. Cartograms and Choropleth maps:an investigation into communicative effectivenessusing mobile app usage data. Henry Holbrook and Clive Cartwright BCS ‐ SoC Conference Mapping Together 8th-10th September 2015 · York

  2. App Development Visualising The Test Effectiveness The Results Conclusion & Future Work

  3. App development

  4. BGS mobile app development

  5. Recording mobile app usage

  6. Visualising

  7. Visualising depends on… communicating… Visualising

  8. Visualising depends on… communicating… by appropriate means… Visualising

  9. Visualising depends on… communicating… by appropriate means… in a suitable format for the story and the audience Visualising

  10. The alternatives Our research revealed that there were two other types of maps that would be capable of communicating this type of data. Visualising

  11. The alternatives British election results map (2010) Visualising

  12. The alternatives British election results proportional to population (2011). Visualising

  13. Why? • We need to understand how the data is being used • Identify areas of interest • But not just to highlight areas that are populated • Reveal how the data or app could be developed • Combined with other information that in context will help give the data meaning Visualising

  14. How? • Identify data sources – • parliamentary constituencies • App usage zoom level • Population data • Decide how all of this information can be visualised in both map types • What types of questions would people ask from the data? • Create a usage to people ratio Visualising

  15. The Test

  16. The Test

  17. The Test

  18. The Test

  19. The Test

  20. The Test

  21. The Test

  22. The Test

  23. The Test

  24. The Test

  25. Effectiveness

  26. Test objective: • Establish if the maps communicate. Not interested in absolute answers as they bias cartograms. • Rationalizing usage data with population statistics. • Establish if the linking method reduces communicative effectiveness. Questions

  27. 3 direct questions relating to the map: • Out of the highest populated areas which area had the least app use? • Out of the lowest populated areas which area had the most app use? • Which region performed best overall? Questions

  28. Which region performed best overall?

  29. Which region performed best overall?

  30. Other questions: 1) Gender 2) Age 3) Any visual impediments 4) Self assessment on map reading abilities and after the test 5) Map preference Questions kept to a minimum to reduce participant fatigue Questions

  31. The Results

  32. Which performed best?

  33. Which performed best? Correct answer in the top 5 polygons for all questions

  34. Which performed best? Correct answer in the top 5 polygons for all questions

  35. The Results Order of maps

  36. Order of maps – maps seen first Correct answer in the top 5 polygons

  37. Order of maps – maps seen first

  38. Order of maps – maps seen second Correct answer in the top 5 polygons

  39. Order of maps – maps seen second

  40. The Results The questions

  41. The Results Age

  42. Age of participants Correct answer in the top 5 polygons

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