What is Stories in Structure about?

This blog explores how we see and understand structure — especially the structure of the world around us. It begins with data collected from sensors like cameras, LIDAR, and positioning and motion sensors, then modeled as graphs, revealing how things are connected, positioned, or navigated.

From there, I dive into computational methods for analyzing these structures — how we model them, extract meaning, and sometimes even use them to build augmented reality experiences. You'll find posts on everything from Structure from Motion, LIDAR mapping, and GNSS tracking, to visual attention modeling and the way our eyes and minds respond to the environments we move through.

While much of this blog is grounded in geospatial systems (yes, feet on the ground — pun intended), I’ll occasionally take you beyond that scope to explore more abstract structures: airways in the sky, climbing routes, even family trees.

Whether it’s visible or abstract, if it has structure, it has a story - and I’ll try to tell it.

How this blog works

I aim to publish a new post every 2–3 Tuesdays — sometimes a deeper conceptual piece, sometimes a more hands-on follow-up where you can explore things yourself in Python or using open data.

Posts are grouped into themes such as:

• Graphs & Graph Neural Networks (GNNs)

• 3D Reconstruction

• GNSS & Positioning

• Climbing

• Visual Attention & Perception

• Graphs × GenAI

You'll see these tags on posts to help you navigate across topics or follow the threads that interest you most.

👉Curious? Start with How to Solve the House Puzzle

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Thanks for being here. If you’d like to follow along, subscribe or check back every few Tuesdays. I hope you’ll find ideas here that feel both familiar and a little unexpected.