Framework to run different forecasting experiments on Sensor Data

This project evaluates ARIMA (Autoregressive Integrated Moving Average) and ST-ARIMA (Space-Time ARIMA) for short-term rainfall prediction in Jawa Timur, Indonesia. Built using R in RStudio, it compares these time-series models to improve climate adaptation in agriculture by analyzing spatial-temporal dependencies for better forecasting accuracy.