Research Data

This repository contains data and research findings on Spatiotemporal Analysis of Climate Change Phenomena for Predicting Rice Productivity in Central Java Province by 2030. The study utilizes historical climate data (temperature, rainfall, humidity), along with land use and rice production data, to analyze spatial and temporal climate change patterns. Using GIS-based modeling and machine learning methods, this research predicts the impact of climate change on rice productivity in 2030. The dataset includes satellite imagery, agricultural spatial data, statistical analysis results, and predictive rice productivity maps, serving as a reference for food security planning in Central Java.