Welcome to the first in a series of videos and posts on learning spatial SQL. This will focus on learning the core elements of SQL, and in the name of not reinventing the wheel, there are already such great resources to learn SQL. The Spatial SQL Book – Available now! Check out my new book […]
Python is fast becoming one of the top languages for data analysis and data science, and for good reason. It is quick to learn, can be used for many use cases, and is fast becoming a key skill for job seekers. Python for GIS and geospatial analysis is no different. It can help you scale […]
Lately, I have been discussing the concept of modern GIS, and while it doesn’t require the cloud to run (in fact a core principle is that it can be run locally or in the cloud) it does allow you to easily move to the cloud when ready. With that said not all things in the […]
Yes, (another) file format is the most important new development tool for the modern GIS stack in 2022. There is a ton of hype around tools, processes, and methods for making geospatial analysis faster and at scale, but what if the data (in this case vector data) was better formatted for different query performance both […]
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 […]
