Modeling Temperature Trends with tidyverts suite

This analysis uses the tidyverts suite in R to model and forecast temperature trends. Monthly temperature data is converted into a tsibble, a tidy time series data structure. An ARIMA model is fit to capture trends and patterns. The model forecasts future temperatures, providing insights into potential climate shifts. Visualizations help understand historical patterns and future projections. This approach enables accurate and interpretable forecasting, supporting climate research and decision-making in Nigeria. By leveraging tidyverts, the analysis is efficient, scalable, and easy to communicate. The workflow can be extended to other environmental variables.