Artificial intelligence-driven geographies: revolutionizing urban studies
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 mapp...
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| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2024
|
| Schriftenreihe: | City development issues and best practices
|
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-1046 DE-1028 DE-1050 DE-M347 DE-91 DE-384 DE-19 DE-703 DE-20 DE-824 DE-739 Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 Online-Ressource (xii, 452 Seiten) |
| ISBN: | 9789819751167 |
| DOI: | 10.1007/978-981-97-5116-7 |
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| spelling | Moghaddam, Seyed Navid Mashhadi Verfasser aut Artificial intelligence-driven geographies revolutionizing urban studies Seyed Navid Mashhadi Moghaddam, Huhua Cao Singapore Springer Nature Singapore 2024 1 Online-Ressource (xii, 452 Seiten) txt rdacontent c rdamedia cr rdacarrier City development issues and best practices 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. Artificial intelligence. Geography. Cao, Huhua Verfasser (DE-588)139301704 aut Erscheint auch als Druck-Ausgabe 978-981-97-5115-0 https://doi.org/10.1007/978-981-97-5116-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Moghaddam, Seyed Navid Mashhadi Cao, Huhua Artificial intelligence-driven geographies revolutionizing urban studies |
| title | Artificial intelligence-driven geographies revolutionizing urban studies |
| title_auth | Artificial intelligence-driven geographies revolutionizing urban studies |
| title_exact_search | Artificial intelligence-driven geographies revolutionizing urban studies |
| title_full | Artificial intelligence-driven geographies revolutionizing urban studies Seyed Navid Mashhadi Moghaddam, Huhua Cao |
| title_fullStr | Artificial intelligence-driven geographies revolutionizing urban studies Seyed Navid Mashhadi Moghaddam, Huhua Cao |
| title_full_unstemmed | Artificial intelligence-driven geographies revolutionizing urban studies Seyed Navid Mashhadi Moghaddam, Huhua Cao |
| title_short | Artificial intelligence-driven geographies |
| title_sort | artificial intelligence driven geographies revolutionizing urban studies |
| title_sub | revolutionizing urban studies |
| url | https://doi.org/10.1007/978-981-97-5116-7 |
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