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人工智能与地理学的未来

林耿 刘晓凤 叶超 黄耿志 郭文 孙云龙 周霞 郭杰 黄旭 宋小青

热带地理2026,Vol.46Issue(1):1-16,16.
热带地理2026,Vol.46Issue(1):1-16,16.DOI:10.13284/j.cnki.rddl.20251507

人工智能与地理学的未来

Artificial Intelligence and the Future of Geography

林耿 1刘晓凤 2叶超 3黄耿志 4郭文 5孙云龙 6周霞 7郭杰 4黄旭 8宋小青9

作者信息

  • 1. 中山大学 地理科学与规划学院,广州 510275||中山大学 数字人文联合研究院,广州 510275
  • 2. 香港科技大学(广州) 城市治理与设计学域,广州 511453
  • 3. 复旦大学 国际关系与公共事务学院,上海 200433
  • 4. 中山大学 地理科学与规划学院,广州 510275
  • 5. 南京农业大学 人文与社会发展学院,南京 210095
  • 6. 复旦大学 旅游学系,上海 200433
  • 7. 广东省科学院广州地理研究所,广州 510070
  • 8. 南京师范大学 气候系统预测与变化应对全国重点实验室,南京 210000
  • 9. 南开大学 周恩来政府管理学院,天津 300350
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摘要

Abstract

In recent years,rapid advancements in artificial intelligence(AI)have significantly transformed geographical research methodologies.Large models such as DeepSeek and ChatGPT are catalyzing a shift in geography from the conventional"experience-empirical-simulation"approach to a multi-paradigm framework co-driven by"big data and intelligent learning,"offering new perspectives and methods for understanding and interpreting complex geographical issues.In line with this tendency,the human geography community participated in comprehensive discussions regarding the interplay between AI and geography,the transformation of research paradigms,the agency of AI,and its inherent limitations.Several key insights have emerged:AI and geography are mutually empowering,and their deep integration reshapes both knowledge systems and social practices.When using AI,geographers should maintain their scholarly agency in theoretical framing,value orientation,and contextual interpretation,while emphasizing the situated meaning of human-environment systems and the practical utility of knowledge.This approach fosters a new disciplinary paradigm characterized by"human-machine-environment"synergy.Furthermore,although AI,as a non-human agent,is increasingly involved in the production of geographical knowledge(for example,the concept of a"digital sense of place"),understanding the complexity of human-environment relationships,interpreting socio-spatial dynamics,and appreciating and preserving local experiences must remain the prerogative of geographers,and cannot be supplanted by AI.

关键词

人工智能/地理学者/知识生产/研究范式/主体性

Key words

Artificial Intelligence/Geographer/knowledge production/research paradigm/agency

分类

信息技术与安全科学

引用本文复制引用

林耿,刘晓凤,叶超,黄耿志,郭文,孙云龙,周霞,郭杰,黄旭,宋小青..人工智能与地理学的未来[J].热带地理,2026,46(1):1-16,16.

基金项目

国家自然科学基金(42571239,42071178) (42571239,42071178)

热带地理

1001-5221

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