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      Handbook of Geospatial Artificial Intelligence

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      SKU 9781032311661 Categories ,
      Geospatial Artificial Intelligence (GeoAI) is the integration of geospatial studies and AI using machine learning and deep learning technologies. This comprehensive handbook explains and discusses key fundamental concepts, methods, models, technologies of GeoAI, recent advances, research tools, and ...

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      Description

      Product ID:9781032311661
      Product Form:Hardback
      Country of Manufacture:GB
      Title:Handbook of Geospatial Artificial Intelligence
      Authors:Author: Song Gao, Yingjie Hu, Wenwen Li
      Page Count:448
      Subjects:Earth sciences, Earth sciences, Human geography, Geographical information systems, geodata and remote sensing, Civil engineering, surveying and building, Environmental science, engineering and technology, Artificial intelligence, Human geography, Geographical information systems (GIS) & remote sensing, Civil engineering, surveying & building, Environmental science, engineering & technology, Artificial intelligence
      Description:Geospatial Artificial Intelligence (GeoAI) is the integration of geospatial studies and AI using machine learning and deep learning technologies. This comprehensive handbook explains and discusses key fundamental concepts, methods, models, technologies of GeoAI, recent advances, research tools, and applications in different fields.

      This comprehensive handbook covers Geospatial Artificial Intelligence (GeoAI), which is the integration of geospatial studies and AI 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, Handbook of Geospatial Artificial Intelligence is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such as information science, environment and natural resources, geosciences, and geography.

      Features

      • Provides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectives
      • Covers a wide range of GeoAI applications and case studies in practice
      • Offers supplementary materials such as data, programming code, tools, and case studies
      • Discusses the recent developments of GeoAI methods and tools
      • Includes contributions written by top experts in cutting-edge GeoAI topics

      This book is intended for upper-level undergraduate and graduate students from different disciplines and those 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.


      Imprint Name:CRC Press
      Publisher Name:Taylor & Francis Ltd
      Country of Publication:GB
      Publishing Date:2023-12-29

      Additional information

      Weight914 g
      Dimensions160 × 243 × 30 mm