Jennings Anderson

Join us for a hands-on session exploring how to access and integrate Overture Maps Foundation's data within a cloud-native environment. This workshop will cover: An overview of Overture's datasets\nBest practices for working with large-scale geospatial data in the cloud\nA practical introduction to the Global Entity Reference System (GERS)—our approach to linking and enriching geospatial datasets\nWe'll walk through real-world implementation examples, demonstrating how organizations can associate their own data with Overture's open base layers.

In an era where geographic data underpins critical decision-making across various sectors, the need for open, interoperable data systems has never been greater. This presentation explores the transformative potential of open data through the lens of Overture Maps Foundation.

Overture Maps Foundation provides millions of points of interest (POIs) as open map data. This gives OpenStreetMap users a chance to improve the map using open source geospatial tools in Python, along with various open APIs, to compare and validate the data.

Visualizing and analyzing large-scale geospatial datasets, such as Overture Maps' comprehensive global dataset containing more than 3 billion features grows more challenging as these datasets continue to expand in size and scale.

I walk you through datasets Overture Map Foundation is building, why you would want to access them, and then some basic ways to start getting them into your workflow. Bonus - you will learn some cloud native geospatial formats and tools.

A recent release of new scientific datasets generated from OpenStreetMap exemplifies the need for analysis-ready repositories of OSM data that require minimal pre-processing.