https://github.com/adefebrisp/rainfallforecast-arima-starima

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.
https://github.com/adefebrisp/rainfallforecast-arima-starima

arima r rainfall-prediction rstudio starima

Last synced: 6 days ago
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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.

• Host: GitHub
• URL: https://github.com/adefebrisp/rainfallforecast-arima-starima
• Owner: adefebrisp
• Created: 2025-02-03T08:06:57.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-03T08:14:52.000Z (over 1 year ago)
• Last Synced: 2025-02-03T09:27:04.345Z (over 1 year ago)
• Topics: arima, r, rainfall-prediction, rstudio, starima
• Language: R
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# RainfallForecast-ARIMA-STARIMA

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.