Challenges and Methodological Reflections on Human Geography in the Age of Artificial Intelligence

Key Points

• To explore the integration of artificial intelligence in human geography for a better understanding of human-environment interactions.
• Analyzed the evolution from quantitative geography to computational geography.
• Developed a generative methodology based on systemic theories and dialectical relationships.
• Examined the role of artificial intelligence in enhancing methodological explanations and decision support.
• Identified discrepancies and synergies between traditional spatial statistics, geographic AI, and complex systems modeling.
• Outlined challenges in methodology crossover and AI explainability in the context of national needs.
• Proposed future directions focusing on generative methodologies, AI integration, and comprehensive applications.