Muutke küpsiste eelistusi

GeoAI: Artificial Intelligence in GIS [Pehme köide]

Edited by , Edited by , Edited by
  • Formaat: Paperback / softback, 120 pages, kõrgus x laius: 203x139 mm, Maps, photos, illustrations
  • Ilmumisaeg: 16-Oct-2025
  • Kirjastus: ESRI Press
  • ISBN-10: 158948844X
  • ISBN-13: 9781589488441
  • Pehme köide
  • Hind: 41,94 €
  • See raamat ei ole veel ilmunud. Raamatu kohalejõudmiseks kulub orienteeruvalt 2-4 nädalat peale raamatu väljaandmist.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 120 pages, kõrgus x laius: 203x139 mm, Maps, photos, illustrations
  • Ilmumisaeg: 16-Oct-2025
  • Kirjastus: ESRI Press
  • ISBN-10: 158948844X
  • ISBN-13: 9781589488441

“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. 



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

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 Esris Senior Principal Product Manager for Geospatial AI.



Nicholas Giner is Senior Product ManagerAnalytics and Data Science at Esri.



Matt Artz is a principal content strategist for Esri Press.