SARIMA Model (Seasonal ARIMA) is an extension of the ARIMA (Auto Regressive Integrated Moving Average) model that accounts for seasonality in time series data. The SARIMA model is used when your time series data exhibits seasonal patterns, meaning the data shows regular, predictable patterns that repeat over specific periods (such as daily, weekly, monthly, etc.). In this case, we analyze a variable called Rate using the SARIMA model.

This interactive map visualizes bike theft incidents in Vancouver for 2021, highlighting hotspots and providing details on the locations.