Exploring GeoAI: Tools and Workflows Offers Cutting-Edge Geospatial AI Models and Step-By-Step Tutorials Using ArcGIS

• Esri has released Exploring GeoAI: Tools and Workflows, a practical guide for applying geospatial AI using ArcGIS.
• Designed for GIS professionals, analysts, and data scientists, the workbook supports real-world spatial analysis through hands-on GeoAI workflows.
• The book addresses the growing importance of GeoAI by guiding readers through data preparation, model training, evaluation, and deployment.
• Step-by-step tutorials use real-world datasets to demonstrate deep learning, object detection, lidar classification, transfer learning, and predictive spatial analysis in ArcGIS.
  

REDLANDS, Calif.: Esri has released Exploring GeoAI: Tools and Workflows, a practical guide to applying geospatial artificial intelligence (GeoAI) using ArcGIS. Designed for GIS professionals, analysts, and data scientists, this hands-on workbook provides the knowledge and tools needed to integrate advanced AI workflows into real-world spatial analysis.

As GeoAI continues to transform how organizations analyze and interpret location-based data, Exploring GeoAI equips readers with the skills to confidently implement deep learning models and workflows. The book guides users through the full GeoAI life cycle-from preparing systems and data to training, evaluating, and deploying models in operational environments.

Readers begin by learning how to install and configure deep learning frameworks, assess hardware capabilities, and optimize system performance. From there, they progress through key stages of the GeoAI workflow, including defining project requirements, selecting appropriate data, choosing and training models, and evaluating results with confidence.

Each chapter features carefully structured, step-by-step tutorials using real-world datasets, enabling readers to build practical expertise while solving meaningful spatial problems. The book demonstrates how to apply pretrained deep learning models in ArcGIS Pro and ArcGIS Online, highlighting the power and flexibility of Esri's geospatial platform.

Topics covered include:

• Installing and configuring deep learning frameworks
• Troubleshooting common technical challenges
• Selecting, training, and evaluating models
• Object detection and classification
• Transfer learning techniques
• Classifying lidar point clouds
• Applying predictive spatial analysis

With its emphasis on hands-on learning and real-world application, Exploring GeoAI empowers readers to automate workflows, generate predictive insights, and enhance decision-making through advanced spatial analysis.

About the Authors:

Ismael Chivite, Esri's senior principal product manager for geospatial AI.
Nicholas Giner, senior product manager-analytics and data science at Esri.
Craig Carpenter, senior product engineering writer on the Esri Press Books team who helps to develop and improve ways of learning GIS.

Exploring GeoAI: Tools and Workflows is available in paperback (ISBN: 9781589489080, US$39.99), and as an ebook (ISBN: 9781589489097, US$39.99). This book can be obtained from most online retailers worldwide. Interested retailers can contact Esri Press book distributor Ingram Publisher Services.

About Esri

Esri, the global market leader in geographic information system (GIS) software, location intelligence, and mapping, helps customers unlock the full potential of data to improve operational and business results. Founded in 1969 in Redlands, California, USA, Esri software is deployed in hundreds of thousands of organizations globally, including Fortune 500 companies, government agencies, nonprofit institutions, and universities. Esri has regional offices, international distributors, and partners providing local support in over 100 countries on six continents. With its pioneering commitment to geospatial technology and analytics, Esri engineers the most innovative solutions that leverage a geographic approach to solving some of the world's most complex problems by placing them in the crucial context of location. Visit us at esri.com.

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Fonte: Business Wire