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.