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Handbook of geospatial artificial intelligence / Edited by Song Gao, Yingjie Hu, and Wenwen Li.

Contributor(s):

Material type: Text

TextPublisher: Boca Raton, FL : CRC Press, 2024Description: ix, 448pages.: illustrations. ( some colored) 24cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781032311661
9781032311678

Other title:

Geospatial artificial intelligence

Subject(s):

Additional physical formats: Online version:: Handbook of geospatial artificial intelligenceDDC classification:

910.285/63 23/eng/20231016

LOC classification:

G70.217 HAN 2024

Summary: "This comprehensive handbook covers Geospatial Artificial intelligence (GeoAI) which is the integration of geospatial studies and AI using deep learning and knowledge graph technologies. It explains fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, it is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI"-- Provided by publisher.

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Books on General collection	Africa University Main Library	G70.217 HAN 2024 (Browse shelf(Opens below))	3	Available	0000967117798
Books on General collection	Africa University Main Library	G70.217 HAN 2024 (Browse shelf(Opens below))	1	Available	0000967117218
Books on General collection	Africa University Main Library	G70.217 HAN 2024 (Browse shelf(Opens below))	2	Available	0000967117213

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Includes bibliographical references and index.

"This comprehensive handbook covers Geospatial Artificial intelligence (GeoAI) which is the integration of geospatial studies and AI using deep learning and knowledge graph technologies. It explains fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, it is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI"-- Provided by publisher.

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