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Outline

Readability Analysis of Covid-19 Maps

Abstracts of the ICA

https://doi.org/10.5194/ICA-ABS-5-102-2022

Abstract

The World Health Organization declared the coronavirus disease (Covid-19) as a global pandemic on March 11, 2020. Thus, the World Health Organization, states, institutions, and individuals begin to develop various online tools for monitoring the spread of the virus. Pandemic data has been shared with users through tables, graphs, or maps. Since epidemic diseases are spread by human mobility, they can be identified using various spatial distribution characteristics. During this time, cartographers examine thematic maps produced and think about the problems (Mocnik et al., 2020; Mooney and Juhász, 2020; Wei et al., 2020). Misuse of cartographic symbol and visualization tools, choropleth maps produced without normalization, misclassification/grading on choropleth maps, the excessive number of classes, overlapped proportional symbols, ambiguity in legends, lack of representation of temporal dynamics, lack of multi-scale design are the main problems which cartographers have mentioned before. To evaluate these problems, a survey study is conducted with the participation of Istanbul Technical University students (109 students) on the readability of Covid-19 maps within the scope of this study. Age, gender, education, expertise, and cultural factors affect the readability of the maps. For this reason, students are divided into 3 groups according to their cartographic knowledge level. 33 out of 109 are second-year geomatics engineering students who have received basic cartography education (referred to as "basic" in this study). 45 of them are third-year geomatics engineering students who have completed their undergraduate cartography education (referred to as "medium" in this study). The remaining 31 people are master's and Ph.D. students (referred to as "experts" in this study). In the study, the readability of thematic maps such as choropleth maps, proportional symbol maps, heat maps, multivariate maps, and flow maps, which are used extensively during the pandemic, are examined. It is foreseen that being clear, understandable, and legible will increase the readability. Map readability accuracy rates are examined based on the correct answers. The survey also includes questions about the information sources and used visual tools of the surveyors. Accordingly, the surveyors mostly benefited from maps and tables during the pandemic. Ministry of Health (Turkey) has explained the daily number of cases, recoveries, and deaths with tables. For this reason, the use of tables along with maps by the surveyors is also high. Surveyors mostly used social media to obtain information (Figure 1). The fact that the participants are university students can also explain their social media usage habits.

References (6)

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