Interactive Maps Powered by AI Agents

📘 Get my new Book - Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools 👉 Amazon: https://amazon.com/dp/B0FFW34LL3 👉 Leanpub: https://leanpub.com/gispro 👋 Let’s Connect: YouTube:    / @giswqs   LinkedIn:   / giswqs   Twitter:   / giswqs   Facebook:   / opengeos   Unlock the future of geospatial technology! 🌍 In this tutorial, you’ll learn how to build interactive maps powered by AI agents that respond to natural language queries. Watch how you can fly to any city, add raster or vector layers, visualize 3D buildings, and explore geospatial data—all without writing code. Perfect for developers, researchers, and anyone curious about AI, GIS, and interactive mapping. 👉 Notebook example: https://opengeoai.org/examples/AI_age... 0:00 - Intro 0:08 - Communicating with Maps Using Natural Language 0:31 - Flying to Cities (Chicago, NYC) 0:52 - Adding and Removing Basemaps 1:26 - Loading Raster Data Layers 2:10 - Visualizing Vector Data (GeoJSON & Boundaries) 2:59 - What Are AI Agents? (LLM, Memory, Tools) 4:02 - Introducing the Leafmap + GeoAI Package 5:00 - Setting Up Local or API Models (LLaMA, OpenAI) 6:27 - Installing Packages and Dependencies 7:09 - Creating AI-Powered Maps with Geo Agents 9:20 - Interacting with Maps (Zoom, Add Data, 3D Buildings) 12:00 - Custom Maps and Programmatic Control 13:06 - GUI Interaction and Text Prompt Interface 15:01 - Advanced Tools and Styling Data Layers 16:19 - Future Capabilities: Analytics & Segmentation 17:00 - Conclusion and Next Steps