In 2021, I hit “post” on one of my first LinkedIn updates. It was a simple breakdown of the top Python packages being downloaded in geospatial. Nothing fancy. Nothing viral. I scrolled all the way back recently just to look at it. At the time, I had no strategy, no content plan, and no idea […]
Most GIS professionals focus on learning new technical skills when they want to move forward in their career. Python, SQL, cloud tools, spatial data engineering, analytics. And yes, these skills matter. They open doors that traditional GIS workflows never could. But there is something most people miss. Learning the right skills is not enough to […]
Most GIS professionals reach a crossroads at some point in their career. You can stay where you are, relying on traditional desktop workflows, or you can step into the deep end of modern GIS: cloud systems, data engineering, automation, and scalable analysis. I faced that fork in the road years ago. I didn’t have a […]
Cloud-native geospatial workflows are finally becoming accessible to everyday GIS analysts. Instead of downloading giant zip files or managing your own S3 buckets, you can now stream geospatial data directly into your tools using modern formats like GeoParquet, COG, and PMTiles. One of the platforms leading this shift is Source Cooperative, a data sharing project […]
Foundation models are changing what’s possible in geospatial analysis. Tasks that once required thousands of labeled samples and expensive GPU training can now be performed instantly using pre-trained models built on massive Earth observation datasets. One of the best examples is the new NASA–IBM Prithvi model, hosted on Hugging Face. It can classify cropland types, […]
