Exploring GeoAI
Language: English
Published by ESRI Press, US, 2026
- Softcover
- New
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
£ 35.14
Quantity: 1 available
Add to basketItem description from seller
Transform your spatial analysis capabilities with the power of GeoAI. Learn the latest geospatial AI models and tools with Exploring GeoAI: Tools and Workflows. Use comprehensive, hands-on tutorials for implementing cutting-edge deep learning models and workflows-perfect for anyone ready to apply the transformative potential of GeoAI in their organizational operations. Start by learning how to install deep learning frameworks, confirm hardware capabilities, and optimize system settings for peak performance. Then, progress through the complete GeoAI workflow: determining project needs, reviewing available data types and formats, assessing and training models, and evaluating performance with confidence. Work through chapters that reinforce learning through carefully crafted tutorials featuring real-world datasets and step-by-step guidance. This approach enables you to quickly build the expertise to address complex spatial challenges. The tutorials demonstrate workflows for a variety of ready-to-use, pretrained deep learning models in ArcGIS Pro and ArcGIS Online, showcasing an evolving platform with powerful geospatial tools.Key topics include:Installing and configuring deep learning frameworksTroubleshooting common technical challengesSelecting and evaluating modelsDetecting and classifying objectsTransfer learning Classifying lidar point cloudsUsing predictive spatial analysis This essential guide will empower readers with the practical skills to implement GeoAI and efficiently automate, predict, and optimize their geospatial work.…
Seller Inventory # LU-9781589489080
- Title
- Exploring GeoAI
- Author
- Ismael Chivite, Nicholas Giner, Craig Carpenter
- Publisher
- ESRI Press, US
- Publication year
- 2026
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 158948908X
- ISBN 13
- 9781589489080
- Item weight
- 408 grams
- Dimensions
- 19.05 x 5.08 x 23.5 cm
Transform your spatial analysis capabilities with the power of GeoAI.
Learn the latest geospatial AI models and tools with Exploring GeoAI: Tools and Workflows. Use comprehensive, hands-on tutorials for implementing cutting-edge deep learning models and workflows―perfect for anyone ready to apply the transformative potential of GeoAI in their organizational operations.
Start by learning how to install deep learning frameworks, confirm hardware capabilities, and optimize system settings for peak performance. Then, progress through the complete GeoAI workflow: determining project needs, reviewing available data types and formats, assessing and training models, and evaluating performance with confidence.
Work through chapters that reinforce learning through carefully crafted tutorials featuring real-world datasets and step-by-step guidance. This approach enables you to quickly build the expertise to address complex spatial challenges. The tutorials demonstrate workflows for a variety of ready-to-use, pretrained deep learning models in ArcGIS Pro and ArcGIS Online, showcasing an evolving platform with powerful geospatial tools.
Key topics include:
- Installing and configuring deep learning frameworks
- Troubleshooting common technical challenges
- Selecting and evaluating models
- Detecting and classifying objects
- Transfer learning
- Classifying lidar point clouds
- Using predictive spatial analysis
This essential guide will empower readers with the practical skills to implement GeoAI and efficiently automate, predict, and optimize their geospatial work.
"Synopsis" may belong to another edition of this title.
About the Author
Ismael Chivite is is Distinguished Product Manager for Geospatial AI at Esri.
Nicholas Giner is a Senior Product Manager for Analytics and Data Science at Esri.
Craig Carpenter is a Senior Product Engineering Writer on the Esri Press Books team and helps develop and improve ways of learning GIS.
"About the title" may belong to another edition of this title.
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