Regular round-up on data science, geospatial analytics, network science, AI, and many more - from tech to academia, from tutorials to the frontiers of science.
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Learning journey - Urban data science with Python
Cities are the most interconnected systems most of us will ever work with: streets link to streets, amenities cluster along them, and every home sits some number of minutes from a school, a shop, a station. All of that has a location, and a...
Closing the Budapest room
Three weeks ago I said I’d only run the Budapest GeoAI day if enough of you confirmed you’d take a seat.
I set the numbers before I posted anything and I’m not moving them. If we clear them, I book the venue, the videographer and the cate...
Learning journey - How to get started in geospatial data science
Most people meet geospatial the hard way, jumping right into the middle. A client request, a technical tutorial, a new Python library, an overly complicated and technical error message. And even if the code runs and the map looks plausible,...
Five ways I actually use AI as a geospatial data scientist
From a 3D Manhattan in one prompt to mining 1,281 of my own conversations, and why every one of them still needs a driver who knows the territory.
I’ve written over 13,000 prompts for my geospatial Python workflows. When I went back and co...
The New Science of Maps
What it is, and why I built it
I have been receiving many questions about how to start with geospatial data science, which learning materials to use, and which tutorials to use, from intro to advanced GeoAI topics. Any my reply usually...
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Authors
The writers behind this newsletter.
I write The New Science of Maps — geospatial data science from first principles: urban analytics, satellite imagery, GeoAI. PhD in network science, three #1 Amazon bestsellers, Forbes 30 Under 30, TEDx speaker, featured in the New York Times.
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