Cargando…
A Multi-perspective Narrative-Based Geovisualization Dashboard for the 2020 US Presidential Election
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-pe...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477998/ http://dx.doi.org/10.1007/s41651-021-00087-6 |
_version_ | 1784575962308935680 |
---|---|
author | Rao, Jinmeng Chen, Kexin Yang, Ellie Fan Kruse, Jacob Hudson, Kyler Gao, Song |
author_facet | Rao, Jinmeng Chen, Kexin Yang, Ellie Fan Kruse, Jacob Hudson, Kyler Gao, Song |
author_sort | Rao, Jinmeng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8477998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-84779982021-09-28 A Multi-perspective Narrative-Based Geovisualization Dashboard for the 2020 US Presidential Election Rao, Jinmeng Chen, Kexin Yang, Ellie Fan Kruse, Jacob Hudson, Kyler Gao, Song J geovis spat anal Article 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. Springer International Publishing 2021-09-28 2021 /pmc/articles/PMC8477998/ http://dx.doi.org/10.1007/s41651-021-00087-6 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Rao, Jinmeng Chen, Kexin Yang, Ellie Fan Kruse, Jacob Hudson, Kyler Gao, Song A Multi-perspective Narrative-Based Geovisualization Dashboard for the 2020 US Presidential Election |
title | A Multi-perspective Narrative-Based Geovisualization Dashboard for the 2020 US Presidential Election |
title_full | A Multi-perspective Narrative-Based Geovisualization Dashboard for the 2020 US Presidential Election |
title_fullStr | A Multi-perspective Narrative-Based Geovisualization Dashboard for the 2020 US Presidential Election |
title_full_unstemmed | A Multi-perspective Narrative-Based Geovisualization Dashboard for the 2020 US Presidential Election |
title_short | A Multi-perspective Narrative-Based Geovisualization Dashboard for the 2020 US Presidential Election |
title_sort | multi-perspective narrative-based geovisualization dashboard for the 2020 us presidential election |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477998/ http://dx.doi.org/10.1007/s41651-021-00087-6 |
work_keys_str_mv | AT raojinmeng amultiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT chenkexin amultiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT yangelliefan amultiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT krusejacob amultiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT hudsonkyler amultiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT gaosong amultiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT raojinmeng multiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT chenkexin multiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT yangelliefan multiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT krusejacob multiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT hudsonkyler multiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection AT gaosong multiperspectivenarrativebasedgeovisualizationdashboardforthe2020uspresidentialelection |