GeoAI and Human Geography

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: GeoAI and Human Geography
Περιγραφή: This volume outlines a comprehensive journey into how geospatial artificial intelligence (GeoAI) is reshaping our understanding of people and places. Merging traditional geographic inquiry with AI technologies, it offers a holistic view of digital tools and advanced algorithms that redefine human geography. Across twenty‐eight chapters, the book chronicles the evolution of geographic thought into the GeoAI era. Innovative methodologies—from explainable spatial analysis and natural language processing to human-centered computer vision and high-performance computing—reveal new patterns and relationships beyond conventional approaches. Each contribution highlights both technical strides in data processing and enriched perspectives on cultural, economic, political, health, and urban studies. Showcasing diverse applications in disaster management, climate change adaptation, and urban planning, the volume demonstrates GeoAI's transformative potential. It also engages with ethical, sustainable, and social challenges, emphasizing that technological innovation must serve real-world impacts and inclusivity. Ideal for researchers, students, and practitioners alike, this volume invites you to explore new frontiers at the intersection of technology and human experience.
Συγγραφείς: Xiao Huang, Siqin Wang, John Wilson, Peter Kedron
Resource Type: eBook.
Θέματα: Artificial intelligence--Industrial applications, Environmental monitoring, Geospatial data--Computer processing
Categories: COMPUTERS / Artificial Intelligence / General
Βάση Δεδομένων: eBook Index
FullText Text:
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  Data: This volume outlines a comprehensive journey into how geospatial artificial intelligence (GeoAI) is reshaping our understanding of people and places. Merging traditional geographic inquiry with AI technologies, it offers a holistic view of digital tools and advanced algorithms that redefine human geography. Across twenty‐eight chapters, the book chronicles the evolution of geographic thought into the GeoAI era. Innovative methodologies—from explainable spatial analysis and natural language processing to human-centered computer vision and high-performance computing—reveal new patterns and relationships beyond conventional approaches. Each contribution highlights both technical strides in data processing and enriched perspectives on cultural, economic, political, health, and urban studies. Showcasing diverse applications in disaster management, climate change adaptation, and urban planning, the volume demonstrates GeoAI's transformative potential. It also engages with ethical, sustainable, and social challenges, emphasizing that technological innovation must serve real-world impacts and inclusivity. Ideal for researchers, students, and practitioners alike, this volume invites you to explore new frontiers at the intersection of technology and human experience.
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      – Code: 910.28563
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Artificial intelligence--Industrial applications
        Type: general
      – SubjectFull: Environmental monitoring
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      – SubjectFull: Geospatial data--Computer processing
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            – D: 01
              M: 01
              Type: published
              Y: 2025
            – D: 23
              M: 09
              Type: profile
              Y: 2025
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