GeoAI
ESRI Press (Verlag)
978-1-58948-888-5 (ISBN)
“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.
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.
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
| Erscheinungsdatum | 30.09.2025 |
|---|---|
| Zusatzinfo | Maps, photos, illustrations |
| Verlagsort | Redlands |
| Sprache | englisch |
| Maße | 139 x 203 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie | |
| ISBN-10 | 1-58948-888-1 / 1589488881 |
| ISBN-13 | 978-1-58948-888-5 / 9781589488885 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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