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 […]
TOP OF THE STACK What we need to do with COGs COGs (Cloud-Optimized GeoTIFFs) are one of the most promising tools we have for making raster data truly cloud-native. They let you stream just the pieces you need, work remotely, and plug into modern geospatial systems without downloading giant files. But after working closely with […]
Modern GIS is changing fast. If you’ve been working with QGIS, ArcGIS, or any other desktop GIS tool, you’ve probably hit some limitations—datasets getting too big, processing times slowing down, and collaboration becoming a challenge. The good news? The cloud offers a way forward. But how do you make that transition? How do you go […]
In a recent post (see below), I emphasized Python, SQL, and Cloud as core skills for GIS professionals today. Yes I still think these are critical skills but there is one thing I would fix about how I positioned that. Full post here However, some pointed out that I seemed to overlook the fundamentals: […]
Was big data in GIS ever a thing? When we talk about big data in geospatial and GIS, it tends to open up quite the debate. On one hand, you have the promise of detailed insights and the ability to understand our world in ways we’ve never imagined. On the other, there’s the stark reality […]
