The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19
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 ex...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Journal of Maps |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17445647.2023.2276763 |
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| author | David Haynes Mohsen Ahmadkhani Joe Numainville |
| author_facet | David Haynes Mohsen Ahmadkhani Joe Numainville |
| author_sort | David Haynes |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a6e1b645e1794921a31ee029e693bfd8 |
| institution | Kabale University |
| issn | 1744-5647 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Maps |
| spelling | doaj-art-a6e1b645e1794921a31ee029e693bfd82025-01-06T14:32:05ZengTaylor & Francis GroupJournal of Maps1744-56472024-12-0120110.1080/17445647.2023.2276763The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19David Haynes0Mohsen Ahmadkhani1Joe Numainville2Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USAGeography Environment and Society, University of Minnesota, Minneapolis, MN, USAComputer Science and Engineering, University of Minnesota, Minneapolis, MN, USAThe 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.https://www.tandfonline.com/doi/10.1080/17445647.2023.2276763Disease surveillancespatial analysisspatial statisticsweb mapping |
| spellingShingle | David Haynes Mohsen Ahmadkhani Joe Numainville The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19 Journal of Maps Disease surveillance spatial analysis spatial statistics web mapping |
| title | The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19 |
| title_full | The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19 |
| title_fullStr | The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19 |
| title_full_unstemmed | The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19 |
| title_short | The next generation of dashboards: a spatial online analytical processing (SOLAP) platform for COVID-19 |
| title_sort | next generation of dashboards a spatial online analytical processing solap platform for covid 19 |
| topic | Disease surveillance spatial analysis spatial statistics web mapping |
| url | https://www.tandfonline.com/doi/10.1080/17445647.2023.2276763 |
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