A Multi-perspective Narrative-Based Geovisualization Dashboard for the 2020 US Presidential Election

Abstract

In this paper, we design and implement a map dashboard that combines spatio-temporal visualization and interactive narrative to comprehensively illustrate the 2020 US presidential election. Specifically, our dashboard takes campaign rallies and major events as narrative clues and integrates multi-perspective factors (e.g., the spatial spread of COVID-19, social distancing adherence, poll results) for visualization and statistical analysis. Compared with traditional methods and products, our integrated multi-perspective solution better balances the narrative property and the geovisualization property of a dashboard, making it suitable for illustrating social or political events that happened on a large geographic scale. The result shows that our narrative-based geovisualization dashboard may be used for demonstrating and associating multiple factors with partisanship and has the potential to help users explore the interaction between policies controlling COVID-19, social distancing, and partisanship across the country during the 2020 US presidential election.

Map Design for Public Health Emergencies: a Novel Conceptual Framework for Thematic Content Selection

“…In addition, the logical connections between event processes are also needed as the content thread for integration and classification of information. This form of organization and expression can effectively balance the spatiotemporal attributes and narrative attributes of the epidemic information, better representing the evolutionary processes and dynamic patterns of a public health emergency (Rao et al 2021).…”