Geographic analysis of rural settlement in Al-Rabida village using artificial intelligence and geographic information systems techniques

Abstract

This research aims to analyze rural settlement patterns in the village of Al-Rabida using artificial intelligence and geographic information systems (GIS). The study addresses the problem of declining agricultural activity and weak infrastructure, and their impact on rural stability. It is based on the hypothesis that the decline in water resources and the lack of support and services have led to weak development, and that the application of artificial intelligence techniques contributes to analyzing settlement patterns and predicting their trends with high accuracy. The research employs an analytical approach to study the influencing factors, a descriptive approach to classify village patterns, and a historical approach to track geographical transformations. Its significance lies in using modern tools to support spatial planning and sustainable development. The XGBoost model (with 92% accuracy) showed that old floodplains are the most suitable for future rural expansion.