Titlebook: Artificial Intelligence-Driven Geographies; Revolutionizing Urba Seyed Navid Mashhadi Moghaddam,Huhua Cao Book 2024 The Editor(s) (if appli

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https://doi.org/10.1007/978-981-97-5116-7Artificial Intelligence in Geography; AI-Driven Urban Planning; Geospatial Data Analysis; Sustainable D

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978-981-97-5118-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Urban Growth and Sprawl Predictionof cities and their surrounding areas. Understanding the patterns and drivers of urban growth and sprawl can help planners make more informed decisions about land use, infrastructure investments, environmental management, and social equity.

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Conclusion and Future Prospectsducted, and offering transformative potential for improved decision-making, analysis, and efficiency. This section provides a summary of AI‘s impact on human geography and urban planning, highlighting key themes and applications discussed throughout this book.

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Population Distribution and Migration Patternstical, and environmental dynamics. Understanding these patterns is essential for urban planning, policy-making, and resource allocation. In this section, we will discuss the definitions and concepts related to population distribution and migration patterns.

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Book 2024ng. In addition, it presents inspiring case studies, highlighting successful AI applications in human geography and urban planning, and offers insights into future research directions and challenges... ..This book is a must-read for students, researchers, and professionals in geography, urban planni