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