Informative cartographic communication: a framework to evaluate the effects of map types on users’ interpretation of COVID-19 geovisualizations
Mennatullah Hendawy published and co-authored a journal article together with Ahmed Atia on COVID-19 and the geovisualization.
Abstract
The dynamic and rapid spread of COVID-19 presented a challenge in explaining complex issues to uninformed members of society. Although the conveying of this information was dependent on web maps, few studies have focused on the effectiveness of these maps for informing the general public. This study employs the map usability literature to define three map design dimensions: (1) clarity, (2) understanding, and (3) accuracy. Using these dimensions, we developed a framework for categorizing geovisualizations into scientific, rhetorical, and informative maps based on their purpose. We analyzed four examples of COVID-19 geovisualizations under this framework and conducted an online survey to evaluate their interpretation by users.
Only 10% to 60% of users understood each map correctly and poor design practices significantly affected the user interpretation of the maps. The degrees of understanding conformed to our framework. Scientific maps were ambiguous owing to their complexity and the over-emphasis on map cartographic accuracy, whereas informative maps that balance accuracy, clarity, and understanding were more interpretable. Meanwhile, no rhetorical COVID-19 dashboards were included in our sample. We demonstrated that one map cannot provide a complete and comprehensive overview. Therefore, our framework calls for the conscious design of different types of maps to convey the different shades of cartographic reality.
Link to the article and further information: https://www.tandfonline.com/doi/abs/10.1080/15230406.2022.2155249
Citation: Ahmed A. Rezk & Mennatullah Hendawy (2023) Informative cartographic communication: a framework to evaluate the effects of map types on users’ interpretation of COVID-19 geovisualizations, Cartography and Geographic Information Science.