Exploring GeoAI: Tools and Workflows by Ismael Chivite (.ePUB)
File Size: 18.9 MB
Exploring GeoAI: Tools and Workflows by Ismael Chivite, Nicholas Giner, Craig Carpenter
Requirements: .ePUB reader, 18.9 MB | True EPUB
Overview: 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. At its base, GeoAI includes the application of Deep Learning techniques to automate geospatial data extraction from both structured and unstructured data. For example, Deep Learning can be used in ArcGIS to extract geospatial information from imagery, 3D, and lidar point cloud data using object detection, pixel classification, object tracking, and change detection techniques. Deep Learning and large language model (LLM) integration can also be used to extract geospatial data from unstructured text using a variety of natural language processing (NLP) techniques. GeoAI also encompasses Machine Learning and Deep Learning techniques for solving spatial problems through the analysis of vector, tabular, and time series data. Examples include pattern detection and clustering, predictive analysis, and spatiotemporal forecasting. GeoAI tools and techniques are embedded throughout a variety of applications and experiences in ArcGIS. You can train your own custom Machine Learning and Deep Learning models using geoprocessing tools and wizards in ArcGIS Pro or train them programmatically using the arcgis.learn module of the ArcGIS API for Python. ArcGIS Enterprise users can train their own models using Deep Learning Studio, a web app that provides a multiuser, project-based environment for teams to collaborate on GeoAI projects in a web browser with no software installation required. This essential guide will empower readers with the practical skills to implement GeoAI and efficiently automate, predict, and optimize their geospatial work.
Genre: Non-Fiction > Tech & Devices
Free Download links: