Look we can throw around a lot of terms about cloud-native and how geospatial is moving to the cloud, but none of this happens if it isn’t for cloud storage. Yes, this post is going to talk about storage. It’s one of the fundamentally more vanilla topics when discussion the cloud. When you boil it […]
The geospatial industry is evolving faster than ever: from AI-powered analytics to cloud-native infrastructures reshaping how we work with spatial data. That’s why I am excited to announce that the 2025 Geospatial Landscape is on the horizon. The response to this piece last year was amazing and I am excited to start work on the […]
If you’ve ever tried to run a spatial join on millions of features and watched your machine cry for help, it’s time to level up with Apache Sedona. In this new video, I walk through a complete hands-on tutorial for using Sedona in Python via JupyterLab. We’ll load spatial data, perform scalable spatial operations, and […]
The Real Story Behind Faster Spatial Queries I’ve been in geospatial long enough to know that performance metrics can be deceptive. When I recently ran a query to enrich drive-time isochrones with population data—something that’s geometry-heavy and computation-intensive—I got results from two powerful engines: Wherobots and BigQuery. Wherobots returned results in 57 seconds.BigQuery took 1 […]
There are a few truths you can always count on in geospatial. Something is always changing. There’s always a new way to do something. Spatial is special. Spatial data needs to be democratized. Spatial data is in a silo. Spatial data is a second class citizen. I have heard so many of these over the […]
