Any geographer knows points, lines, and polygons form the basis of vector data analysis. These three data types enable data scientists to effectively map, visualize, and model physical attributes on Earth’s surface. When it comes to physical places, polygon data is essential for getting a true representation of a property or building.
But polygon data is only valuable if it is precise and accurate. While there are many ways to represent a point, polygons must represent the physical boundaries of a place. There is no “close enough” for polygons. If it’s inaccurate, it’s wrong.
Join polygon expert and product manager Bryan Bonack as he explores why precision and accuracy are critical for the most common use cases for polygon data. He’ll walk through examples of how to best leverage polygon data in your analysis, as well as tips and tricks for evaluating geometry and building footprints.
Businesses who rely on SafeGraph polygon data for precise analysis: