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020 _a9789819751167
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024 7 _a10.1007/978-981-97-5116-7
_2doi
050 4 _aGF
072 7 _aRGC
_2bicssc
072 7 _aSOC015000
_2bisacsh
072 7 _aRGC
_2thema
100 1 _aMoghaddam, Seyed Navid Mashhadi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984099
245 1 0 _aArtificial Intelligence-Driven Geographies
_h[electronic resource] :
_bRevolutionizing Urban Studies /
_cby Seyed Navid Mashhadi Moghaddam, Huhua Cao.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXII, 452 p. 20 illus., 19 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCity Development: Issues and Best Practices,
_x2731-7781
505 0 _aIntroduction -- 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.
520 _aThis 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.
650 0 _aHuman geography.
_958506
650 0 _aArtificial intelligence.
_958441
650 0 _aGeography.
_962292
650 1 4 _aHuman Geography.
_958506
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aRegional Geography.
_966451
700 1 _aCao, Huhua.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984100
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819751150
776 0 8 _iPrinted edition:
_z9789819751174
776 0 8 _iPrinted edition:
_z9789819751181
830 0 _aCity Development: Issues and Best Practices,
_x2731-7781
_983957
856 4 0 _uhttps://doi.org/10.1007/978-981-97-5116-7
912 _aZDB-2-EES
912 _aZDB-2-SXEE
999 _c63283
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