eBook
GeoAI and Human Geography
| 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: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 4283601 RelevancyScore: 981 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 981.043701171875 |
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| Items | – Name: Title Label: Title Group: Ti Data: GeoAI and Human Geography – Name: Abstract Label: Description Group: Ab 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xiao+Huang%22">Xiao Huang</searchLink><br /><searchLink fieldCode="AR" term="%22Siqin+Wang%22">Siqin Wang</searchLink><br /><searchLink fieldCode="AR" term="%22John+Wilson%22">John Wilson</searchLink><br /><searchLink fieldCode="AR" term="%22Peter+Kedron%22">Peter Kedron</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence--Industrial+applications%22">Artificial intelligence--Industrial applications</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Geospatial+data--Computer+processing%22">Geospatial data--Computer processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4283601 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 910.28563 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Artificial intelligence--Industrial applications Type: general – SubjectFull: Environmental monitoring Type: general – SubjectFull: Geospatial data--Computer processing Type: general Titles: – TitleFull: GeoAI and Human Geography Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xiao Huang – PersonEntity: Name: NameFull: Siqin Wang – PersonEntity: Name: NameFull: John Wilson – PersonEntity: Name: NameFull: Peter Kedron – PersonEntity: Name: NameFull: Xiao Huang – PersonEntity: Name: NameFull: Siqin Wang – PersonEntity: Name: NameFull: John Wilson – PersonEntity: Name: NameFull: Peter Kedron IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 – D: 23 M: 09 Type: profile Y: 2025 Identifiers: – Type: isbn-print Value: 9783031874208 – Type: isbn-electronic Value: 9783031874215 Titles: – TitleFull: GeoAI and Human Geography Type: main |
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