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 […]
Most spatial workflows today are still running on a foundation of folders, flat files, and fragile scripts. You’ve probably worked with shapefiles stored in six different places, Python notebooks that quietly break when a column changes, and a dozen versions of the same dataset ending in _final_v2_edit.shp. I’ve been there. But spatial data has changed. […]
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 accessible way to handle large spatial datasets. This blog post delves into a comprehensive exploration […]
