Theoretical Insights into Artificial Intelligence Applications in Human Geography and Spatial Management (GeoAI)

Purpose:The aim of this article is to explore and preliminarily classify the theoretical potential of Artificial Intelligence (AI) in human (socio-economic) geography and spatial management.The study highlights key areas where AI methodologies intersect with geographical analysis, focusing on their conceptual implications.Design/Methodology/Approach: This paper presents a descriptive review, employing a scoping literature review based on repositories, observation, and case study analysis.A comprehensive tabular compilation of the main areas of AI applications in human geography has been developed.Findings: From the perspective of artificial intelligence technology implementation outcomes, it is necessary to distinguish between two areas of AI applications: scientific (analytical) and pragmatic -applied, although they remain interconnected.Achieving the objective required a broad perspective on the internal structure of human geography as a science (division into subdisciplines) and its pragmatic counterpart -spatial management and planning.The literature review of GeoAI applications in the socio-economic context revealed that cities and future city concepts constitute a major domain for various AI methods implementation.Practical Implications: The findings of this study are primarily theoretical, offering a foundation for further exploration of AI applications in human geography and spatial management.While the research does not propose immediate practical solutions, it provides a conceptual framework that could guide future studies and inspire methodological advancements in the field.Originality value: The paper addresses theoretical issues.The content can serve as a foundation for lectures or as a reference for other publications in this field.