04333nam a22005535i 4500 978-981-97-5116-7 DE-He213 20251030113035.0 cr nn 008mamaa 240911s2024 si | s |||| 0|eng d 9789819751167 978-981-97-5116-7 10.1007/978-981-97-5116-7 doi GF RGC bicssc SOC015000 bisacsh RGC thema Moghaddam, Seyed Navid Mashhadi. author. aut http://id.loc.gov/vocabulary/relators/aut 84099 Artificial Intelligence-Driven Geographies [electronic resource] : Revolutionizing Urban Studies / by Seyed Navid Mashhadi Moghaddam, Huhua Cao. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XII, 452 p. 20 illus., 19 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda City Development: Issues and Best Practices, 2731-7781 Introduction -- Artificial intelligence -- Data Sources and Processing -- Population distribution and migration patterns -- Land use and land cover change detection -- Environmental risk assessment and climate change impacts -- Socioeconomic inequality and spatial analysis -- Health and disease mapping -- Smart cities and IoT integration -- Transportation and traffic management -- Urban growth and sprawl prediction -- Housing, affordability, and real estate market analysis -- Sustainable development and resource management -- Ethical Considerations and Challenges -- Conclusion and Future Prospects. This groundbreaking book delves deep into the history of AI, the major techniques and algorithms of machine learning and deep learning, and the critical role of data sources and processing in these disciplines. It covers a range of AI applications in human geography, including population distribution, land use, environmental risk assessment, and socioeconomic analysis. In urban planning, the book explores AI-driven approaches to smart cities, transportation management, urban growth prediction, and sustainable development, among others. As AI continues to permeate every aspect of human life, it is essential to understand and address the ethical considerations and challenges associated with AI-driven planning. This book tackles crucial issues such as data privacy, algorithmic bias, equitable access to technology, and the future of employment in the fields of geography and urban planning. 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 planning, environmental studies, and related fields. It is also an invaluable resource for policymakers and urban planners seeking to leverage the power of AI to create smarter, more sustainable, and equitable cities and communities. This book equips you with the knowledge and tools to harness the potential of AI, leading the way to a better understanding of our world and a brighter future for all. Human geography. 58506 Artificial intelligence. 58441 Geography. 62292 Human Geography. 58506 Artificial Intelligence. 58441 Regional Geography. 66451 Cao, Huhua. author. aut http://id.loc.gov/vocabulary/relators/aut 84100 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819751150 Printed edition: 9789819751174 Printed edition: 9789819751181 City Development: Issues and Best Practices, 2731-7781 83957 https://doi.org/10.1007/978-981-97-5116-7 ZDB-2-EES ZDB-2-SXEE 63283 63283