“GeoAI—the integration of spatial analysis, AI, and big data—is creating new insights that promise to transform our understanding of the world.”  

Jack Dangermond, president of Esri 

Discover how organizations are powering greater automation, prediction, and optimization with GeoAI. 

Organizations across the globe have long relied on geographic information system (GIS) technology to manage and analyze data through the powerful lens of location, helping them tackle some of the toughest business and societal challenges. The emergence of AI-enhanced GIS has opened new opportunities to these groups to automate complex spatial analyses and harness the full breadth of spatial analysis. This democratization of GIS can help everyone make better decisions faster, from city planners and policymakers to businesses, research groups, and constituents.  

GeoAI: Artificial Intelligence in GIS explores a collection of real-life stories about public- and private-sector organizations as well as NGOs and nonprofits successfully using GeoAI and ArcGIS® to manage processes, workflows, policies, and communication. The book also includes a technology overview that provides ideas, strategies, tools, and actions to help jump-start your own use of GeoAI. 

"ArcGIS users who want to get going with GeoAI and learn what those ahead of them on the path have accomplished will enjoy it, while those on the periphery of the GeoAI world will appreciate better what can be achieved when GeoAI principles are applied within the world’s most popular geospatial software. The range and success of applications – and their growth – are compelling. The arguments are persuasive: even skeptical readers will surely want to explore the potential benefits of GeoAI."

Ismael Chivite is Esri’s Senior Principal Product Manager for Geospatial AI. Nicholas Giner is Senior Product Manager—Analytics and Data Science at Esri. Matt Artz is a principal content strategist for Esri Press.