Handbook of Geospatial Artificial Intelligence

The Handbook of Geospatial Artificial Intelligence (GeoAI) is a comprehensive guide to integrating geospatial studies, AI machine learning, and knowledge graph technologies. It covers key concepts, methods, models, and applications in environmental observation, social sensing, natural disaster responses, and more. It is an excellent resource for educators, students, researchers, and practitioners in information science, environment and natural resources, geosciences, and geography.

Format: Hardback
Length: 448 pages
Publication date: 29 December 2023
Publisher: Taylor & Francis Ltd

This comprehensive handbook delves into the realm of Geospatial Artificial Intelligence (GeoAI), a groundbreaking fusion of geospatial studies, AI machine learning, and knowledge graph technologies. It offers a comprehensive exploration of key fundamental concepts, methodologies, models, and technologies within GeoAI, shedding light on the latest advancements, research tools, and applications that span a diverse spectrum, from environmental observation and social sensing to natural disaster responses. Serving as the first single-volume resource dedicated to this rapidly evolving domain, Handbook of Geospatial Artificial Intelligence emerges as an invaluable resource for educators, students, researchers, and practitioners actively leveraging GeoAI across fields such as information science, environment and natural resources, geosciences, and geography.

The handbook is meticulously structured to provide systematic introductions and in-depth discussions of GeoAI theory, methods, technologies, applications, and future perspectives. It encompasses a wide range of GeoAI applications and case studies, showcasing real-world implementations and practical insights. Additionally, the book offers supplementary materials, including data sets, programming code, tools, and case studies, to enhance readers' understanding and practical application of GeoAI techniques.

Contributions from esteemed experts in cutting-edge GeoAI topics further enrich the content, ensuring a comprehensive and up-to-date coverage of the field. This book is designed to cater to upper-level undergraduate and graduate students from diverse disciplines, as well as individuals pursuing GIS courses in geography or computer sciences. It is also a valuable resource for software engineers, geospatial industry engineers, GIS professionals in non-governmental organizations, and federal/state agencies actively utilizing GIS and seeking to expand their knowledge of GeoAI advancements and applications.

In summary, Handbook of Geospatial Artificial Intelligence serves as a vital guide for anyone seeking to delve into the world of GeoAI, offering a comprehensive exploration of its core concepts, methodologies, and applications. By providing a wealth of information and practical insights, this handbook empowers readers to harness the power of geospatial data and AI technologies to address pressing societal challenges and drive innovation in various fields.

Weight: 1020g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032311661