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0 reviewsThis volume encompasses 28 chapters that illustrate how these innovations unfold across a broad spectrum of themes. Early chapters introduce the essential frameworks of human geography in the context of the GeoAI era. Subsequent chapters describe major methodological breakthroughs, from explainable AI in spatial analysis to the use of natural language processing for interpreting textual data, to human-centered computer vision for urban sensing, to advances in social network analysis and high-performance computing for large-scale geospatial problems.
Another large part of this book focuses on traditional branches of human geography—cultural, economic, political, health, tourism, cartography, transport, and urban studies—illustrating how each area is adopting GeoAI tools to enrich understanding and generate new insights. Several chapters are dedicated onto topics such as identifying gentrification by synthesizing physical and socioeconomic data, probing the spatial biases of generative AI models, fostering ethical and sustainable approaches to geospatial decision-making, and examining the political dimensions that shape the production and application of spatial knowledge.
The final chapters articulate a forward-looking stance on how GeoAI may continue to influence human geography, urging scholars, practitioners, and policymakers to harness its power responsibly and equitably.