I took a real Shapefile with almost 1.1 million polygons and converted it to GeoParquet three different ways. The file went from over 1.4 GB of source data down to 246 MB, opened cleanly in QGIS, and ran spatial queries in seconds instead of minutes. The dataset was the New York City building footprints. Every […]
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 range of packages that can not only help you scale your spatial analysis, but reach […]
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 […]
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 […]
