In the dynamic field of geospatial technology, the evolution of data formats plays a pivotal role in shaping how we interact with and interpret spatial information. The advent of GeoParquet has marked a significant milestone, offering a more efficient and…
The Evolving Landscape of Spatial SQL In today’s technologically driven world, the use of spatial SQL in databases and data warehouses has become increasingly significant. This growth not only enriches the database management landscape but also simplifies the learning curve…
When performing geospatial analysis, the right set of tools can be the difference between surface-level insights and deep, actionable intelligence. Fortunately, amazing geospatial Python packages help to bridge this gap. Python, renowned for its versatility and robustness, offers a wide…
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…
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…
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…
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…
The GIS we use and practice today is fundamentally different from the GIS we used previously. In the past, I have written about the need to define geospatial as a practice, and yet again I think it is time to…
Spatial SQL is not just a query language. It is becoming far more than that and its uses are expanding beyond just a database for spatial data. It allows for faster spatial analysis, supports spatial applications, enables spatial data science…