Handbook of Geospatial Artificial Intelligence – Taylor & Francis Group

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. 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