Handbook of Geospatial Artificial Intelligence

Song Gao, Yingjie Hu, Wenwen Li

Research output: Book/ReportBook

5 Scopus citations

Abstract

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.

Original languageEnglish (US)
PublisherCRC Press
Number of pages448
ISBN (Electronic)9781003814924
ISBN (Print)9781032311661
DOIs
StatePublished - Jan 1 2023

ASJC Scopus subject areas

  • General Engineering
  • General Earth and Planetary Sciences
  • General Computer Science
  • General Environmental Science

Fingerprint

Dive into the research topics of 'Handbook of Geospatial Artificial Intelligence'. Together they form a unique fingerprint.

Cite this