Every once in a while, a conversation topic starts surfacing repeatedly, unprompted, from completely different directions. This week, for me, that topic was cloud-native geospatial data. Seven conversations in 24 hours. All roads leading to the same challenge: geospatial data is abundant but remains frustratingly difficult to use. What struck me wasn’t just the volume […]
When people talk about AI, the focus is usually on large language models, GPU power, or the next wave of multimodal capabilities. But there’s a quietly growing field that could be just as important: geospatial technology. In the latest episode of the podcast, I sat down with Justus Killian, partner at Space Capital, a venture […]
This issue is presented by MapHub TOP OF THE STACK Two quick datasets for mobile phone and data coverage. This data has always been hard to get your hands on but (at least for the US) I came across these shapefiles (they appear to be vectorized rasters) for LTE coverage for data and voice for the big providers: T-Mobile, AT&T, […]
I spend a lot of time talking about scaling geospatial analysis—massive datasets, remote sensing archives, distributed computation—but sometimes the best way to start is right from your laptop. In this tutorial, we’ll set up a local Apache Spark environment using Apache Sedona, a powerful extension for scalable geospatial processing. We’ll connect to remote cloud-hosted data, […]
Geospatial data can be stored and analyzed using a variety of tools, databases, query engines, and frameworks. Choosing the right tool depends on the scale of your use case, from individual exploration on a laptop to enterprise-level deployments, and each technology has a point where its benefits taper off. The good news for you is […]
