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Handbook of Geospatial Artificial Intelligence

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This comprehensive handbook covers Geospatial Artificial intelligence (GeoAI) which is the integration of geospatial studies and AI using machine (deep) learning and knowledge graph technologies. It explains key 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, the handbook is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such information science, environment and natural resources, geosciences, and geography. Features This book is intended for upper-level undergraduate and graduate students from different disciplines and taking GIS courses in Geography or Computer Sciences as well as software engineers, geospatial industry engineers, GIS professionals in non-governmental organizations, and federal/state agencies who use GIS and want to learn more about GeoAI advances and applications.

Size: A4(20*28cm)

Printing: 80 gm – color

Cover: Softcover

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