Reflections on the Application of Artificial Intelligence in Geographic Information Science Based on AI Prediction Functions

Abstract

In recent years, with the increasing prominence of artificial intelligence topics, more and more people are investing greater efforts in AI, big data analysis, and related fields. These efforts have yielded substantial returns, as evidenced by the emergence of ChatGPT, DeepSeek, Claude, and numerous other large AI models that provide considerable convenience across various industries. Based on these developments, this paper primarily focuses on the application of intelligent AI models' prediction functions in geographic information science research. It analyzes the progression from traditional statistical models through shallow machine learning to deep learning, explores the current integration of artificial intelligence with geographic information science, and further examines the positive outcomes and applications generated by combining AI with specific domains related to geographic information science. Additionally, it summarizes the current deficiencies in geographic artificial intelligence and its developmental trends.