Geoai: Artificial Intelligence in Gis - Rilegato

Rilegato

ISBN 10: 1589488881 ISBN 13: 9781589488885

Casa editrice: Esri Pr, 2025

Riassunto

“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. 

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

AI is transforming GIS, allowing organizations to create, enrich, and analyze geospatial data like never before—with more flexibility, at larger scale, faster, and more accurately. AI-enhanced GIS is helping 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; and Matt Artz is a Principal Content Strategist for Esri Press. 

Dettagli dell'edizione

• Editore: Esri Pr
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1589488881
• ISBN 13: 9781589488885
• Rilegatura: Copertina rigida
• Numero di pagine: 124
• Redattore: Chivite Ismael, Giner Nicholas, Artz Matt
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile