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Extreme Events > Natural Disasters > Hurricane

Tourism > Finance > Sales Revenue

· 논문 3편

A new spatio-temporal benchmark dataset (Hurricane), is suited for forecasting during extreme events and anomalies. The dataset is provided through the Florida Department of Revenue which provides the monthly sales revenue (2003-2020) for the tourism industry for all 67 counties of Florida which are prone to annual hurricanes. Furthermore, we aligned and joined the raw time series with the history of hurricane categories (i.e., event intensities) based on time for each county. Note that the hurricane category indicates the maximum sustained wind speed which can result in catastrophic damages as this number goes up (Category 1-6).

TabularTime series

벤치마크

Time Series Forecasting on Extreme Events > Natural Disasters > Hurricane 결과 4개