下一代仪表板:用于COVID-19的空间在线分析处理 (SOLAP) 平台
David Haynes1, Mohsen Ahmadkhani2, Joe Numainville3
1Institute for Health Informatics, 516 Delaware Street SE, Suite 8-110, Minneapolis, MN 55455, University of Minnesota.
Journal of maps
|June 17, 2024
概括
本研究介绍了一个空间在线分析平台 (SOLAP),以增强COVID-19数据探索. 该平台集成了空间分析工具,以更好地了解流行病模式和趋势.
科学领域:
- 流行病学 流行病学
- 地理信息系统 (GIS) 是指地理信息系统.
- 数据科学数据科学数据科学
背景情况:
- 虽然COVID-19的研究已经激增,但仪表板缺乏综合空间分析和交互式数据探索工具.
- 现有的COVID-19仪表板提供有限的数据,限制用户交互和定制以可视化流行病趋势.
- 需要先进的工具来分析传染病的空间和时间动态.
研究的目的:
- 为增强COVID-19数据分析和探索提供一个空间在线分析平台 (SOLAP).
- 将空间计算,探索性数据分析和数据可视化工具集成到一个连贯的平台中.
- 使用户能够交互探索COVID-19流行病的空间模式和时间趋势.
主要方法:
- 开发一个空间在线分析平台 (SOLAP),集成空间分析功能.
- 实施了三个交互类,用于用户驱动的数据探索和分析.
- 包括用户定义的数据分类,地图颜色选择和时间风险指数.
- 支持对空间集群的假设测试提供按需结果的支持.
主要成果:
- SOLAP平台为探索COVID-19的空间模式提供了先进的工具.
- 用户可以通过用户定义的分类和颜色方案来定制数据可视化.
- 该平台通过风险指数和空间集群分析提供了对最近时间趋势的见解.
- SOLAP有效地支持与疫情相关的大型时空数据的分析.
结论:
- 空间在线分析平台 (SOLAP) 显著增强了对COVID-19空间时间数据的探索.
- SOLAP为用户提供交互式工具,以有效分析流行病趋势和模式.
- 该平台通过提供集成的空间分析功能来解决现有仪表板的局限性.
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