Handbook of Geospatial Artificial Intelligence
地理空间人工智能手册
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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. FeaturesProvides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectivesCovers a wide range of GeoAI applications and case studies in practiceOffers supplementary materials such as data, programming code, tools, and case studiesDiscusses the recent developments of GeoAI methods and toolsIncludes contributions written by top experts in cutting-edge GeoAI topicsThis book is intended for upper-level undergraduate and graduate students from different disciplines and taking GIS cou
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