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Geoai - by  Ismael Chivite & Nicholas Giner & Matt Artz (Hardcover) - 1 of 1

Geoai - by Ismael Chivite & Nicholas Giner & Matt Artz (Hardcover)

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About this item

Highlights

  • Discover how organizations are powering greater automation, prediction, and optimization with GeoAI.
  • Author(s): Ismael Chivite & Nicholas Giner & Matt Artz
  • 124 Pages
  • Technology, Remote Sensing & Geographic Information Systems

Description



About the Book



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



Book Synopsis



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



From the Back Cover



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(R) 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.



Review Quotes




"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."


Dimensions (Overall): 8.0 Inches (H) x 5.5 Inches (W) x .5 Inches (D)
Weight: .71 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 124
Genre: Technology
Sub-Genre: Remote Sensing & Geographic Information Systems
Publisher: Esri Press
Format: Hardcover
Author: Ismael Chivite & Nicholas Giner & Matt Artz
Language: English
Street Date: October 7, 2025
TCIN: 1007645048
UPC: 9781589488885
Item Number (DPCI): 247-32-1681
Origin: Made in the USA or Imported
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Estimated ship dimensions: 0.5 inches length x 5.5 inches width x 8 inches height
Estimated ship weight: 0.71 pounds
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