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.