GeoAI: Artificial Intelligence in GIS

by Ismael Chivite (Editor), Nicholas Giner (Editor), Matt Artz (Editor)

Overview

“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. 

Product Details

ISBN-13:	9781589488441
Publisher:	Esri Press
Publication date:	09/02/2025
Pages:	124
Product dimensions:	5.50(w) x 8.00(h) x (d)

About the Author

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.

Table of Contents

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