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The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19

Author

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  • David Haynes
  • Mohsen Ahmadkhani
  • Joe Numainville

Abstract

The health and societal impacts of COVID-19 have created tremendous interest in the scientific community, resulting in interdisciplinary research teams that combine their expertise to provide new insights into the epidemic. However, spatial computation, exploratory data analysis, and spatial data exploration tools have yet to be integrated into these dashboards. We present a Spatial Online Analytical Platform that integrates spatial analysis tools that enable users to explore and learn more about spatial patterns of COVID-19. We present three interaction classes to support users needs. Our first class allows users to apply user-defined data classifications and custom map color choices. The second class applies a risk index across the time series, informing users of the recent temporal trends. The third class allows users to hypothesize about the presence of spatial clusters and receive results on demand. Our SOLAP platform supports the data analysis and exploration needs of big spatial-temporal data.

Suggested Citation

  • David Haynes & Mohsen Ahmadkhani & Joe Numainville, 2024. "The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19," Journal of Maps, Taylor & Francis Journals, vol. 20(1), pages 2276763-227, December.
    • Handle: RePEc:taf:tjomxx:v:20:y:2024:i:1:p:2276763
    DOI: 10.1080/17445647.2023.2276763
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