Spatial data science has been one of the fastest-growing career paths in modern GIS in the past few years. The combination of the boom in the data science path, proliferation and popularity of Python, and demand for more flexible/technical roles in data science and analytics have spilled over into modern GIS. Yet spatial data science […]
GIS Analysts serve the incredibly important purpose of providing detailed analysis and flexible results working with a wide range of data and tools. Not only do GIS Analysts work with many different stakeholder groups, but they also have to maintain a flexible workflow and use a wide range of data, delivering easy to use and […]
The growth of Python for geospatial has been nothing short of explosive over the past few years. More and more you find that geospatial processes are being developed and run on Python, and new users of geospatial are riding their way into geospatial because of it. The Spatial SQL Book – Available now! Check out […]
One of the top questions I get asked is what my favorite resources are for learning any given topic, and spatial SQL is always near the top of that list It’s no secret that I am a big fan of spatial SQL (see my past posts on the topic). It’s speed, scale, and ability to […]
Mastering SQL fundamentals to get started with spatial SQL So you are interested in getting started with spatial SQL — that’s great! Getting started can seem overwhelming but in this post and others, I hope to take you through the different use cases for spatial SQL bit by bit. One of the biggest challenges if you are working […]
