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