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Spatiotemporal Dynamics, Nowcasting and Forecasting of COVID19 in the USLily Wang Department of Statistics Iowa State UniversityMay 1, 20201 / 45Background Introduction Until April 29, 2020 StateInfection
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What is spatiotemporal dynamics nowcasting?
Spatiotemporal dynamics nowcasting is a method used to predict the current state of a system by analyzing spatial and temporal data. It integrates real-time data across various locations and times to provide immediate insights and forecasts.
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Organizations and researchers involved in fields such as meteorology, urban planning, public health, and environmental science may be required to file spatiotemporal dynamics nowcasting to inform decision-making and resource allocation.
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The purpose of spatiotemporal dynamics nowcasting is to provide timely insights and predictive information that aid in immediate decision-making. It helps stakeholders understand evolving conditions across geographical areas and timeframes.
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Information reported in spatiotemporal dynamics nowcasting typically includes data on location, time, observed variables, predicted values, and any relevant contextual factors that influence the dynamics being studied.
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