GeoAI

Artificial Intelligence in GIS

Ismael Chivite, Nicholas Giner, Matt Artz

$122.95 $98.54

Hardback

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English

ESRI Press
20 November 2025

Geographical information systems (GIS) & remote sensing; Expert & knowledge-based systems

""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 ArcGISto 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.

Edited by: Ismael Chivite, Nicholas Giner, Matt Artz
Imprint: ESRI Press
Country of Publication: United States
Dimensions: Height: 203mm, Width: 139mm,
ISBN: 9781589488885
ISBN 10: 1589488881
Pages: 124
Publication Date: 20 November 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Contents Introduction Part 1: GeoAI technology overview Part 2: Public Sector Applications GeoAI Helps Stave Off Pest Infestation of Hemlock Trees Using GeoAI to Inventory ADA Curb Ramps Saves Significant Time and Money Improving Roadways Using Drone Imagery and Machine Learning Drones, Maps, and AI Unite City Functions As Sea Level Rise Threatens, Safeguarding a Sense of Place with a Digital Twin Deep Learning Helps Automate Map Updates to Better Serve Citizens GIS and AI for Precise Damage Assessments Getting the Most of GeoAI in Emergency Management Part 3: Private Sector Applications Deep Learning Model Unlocks Potential of Solar Energy Development CEOs May Be Underusing this AI Capability Another AI Capability that Business Leaders May Be Overlooking Mapping New Possibilities for Business Success GeoAI, Reality Capture, and the Future of Digital Twins Mapping the What-Ifs: Fertile Ground for AI-Powered Simulations Part 4: NGO/Nonprofit Applications Drone Mapping Helps Find Flood Victims, with AI Assistance GeoAI, Corporate Responsibility, and the Vigilance of a Climate Watchdog Mapping Land Mines and Explosive Remnants of War Part 5: Next Steps Contributors

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.

Reviews for GeoAI: Artificial Intelligence in GIS

""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."" -- Dr. A. Stewart Walker * Lidar Magazine *