Automating the Spatial Web: Hermes in Data Science

Executive Summary

Deploying Hermes as a data science copilot for spatial analysis, LiDAR processing, and geospatial visualization - automating ingestion pipelines, generating reproducible Python packages, and synthesizing research literature locally.

This book provides a comprehensive, engineering-led guide to deploying agentic AI systems that respect your data sovereignty while delivering enterprise-grade capabilities. Every pattern, configuration, and script in this book is designed for local-first execution.

Table of Contents

Chapter 1: Spatial Data in the Age of AI Chapter 2: Architecture for Geospatial Workflows Chapter 3: Deploying Hermes for Data Science Chapter 4: LiDAR Processing Pipelines Chapter 5: Best Practices for Spatial Analysis Chapter 6: Debugging Geospatial Code Chapter 7: Multi-Modal Spatial AI Chapter 8: Performance Optimization Chapter 9: Integration with GIS Systems Chapter 10: Data Security for Spatial Data Chapter 11: Future of Spatial AI Chapter 12: Chapter Summary