Christopher Beddow
Christopher Beddow is a data analyst working on products related to OpenStreetMap and Mapillary. He is part of the basemaps team at Meta, is a longtime contributor to OSM and Mapillary, and has a special interest in mapping pedestrian routes, rural areas, and mountainous regions. He is from Montana, USA and lives in a small town in Switzerland. Chris is a member of the Swiss OSM association and loves to ski, hike, and ride trains. He is open to collaboration on projects, talking maps over espresso/apero, and meeting mappers from around the world. Find him on twitter: @cbed32
cbeddow
Sessions
Christopher Beddow takes us on a journey of how to map a small town using a variety of tools. The goal was to test and prove how much OpenStreetMap can be enriched using RapiD buildings and roads, and Mapillary map features, traffic signs, and imagery.
He evaluates a small town in the western United States that is far from any mapping community and has very little data, and demonstrates how a vivid dataset can be added to OSM. In addition, he compares this to a small town in Switzerland, demonstrating how new details can still be added to a place that is heavily mapped by a strong local community.
RapiD is the OpenStreetMap editor that enables users to access a wide variety of shared open data and a machine learning generated predictions that can bring new detail to the map. In 2022, the team at Meta upgraded RapiD to enable users to validate and verify Mapillary detections from images and add data to OpenStreetMap. Join us in an instructional workshop and mapathon where we will learn how Youthmappers in Sierra Leone are using Mapillaryto map the power grid across the country, and how the same workflow can be applied to map electricity availability and lighting around the world, anywhere users capture Mapillary and utilize RapiD to enrich OpenStreetMap.
RapiD is the OpenStreetMap editor that enables users to access a wide variety of shared open data and a machine learning generated predictions that can bring new detail to the map. In 2022, the team at Meta upgraded RapiD to enable users to validate and verify Mapillary detections from images and add data to OpenStreetMap. Join us in an instructional workshop and mapathon where we will learn how Youthmappers in Sierra Leone are using Mapillaryto map the power grid across the country, and how the same workflow can be applied to map electricity availability and lighting around the world, anywhere users capture Mapillary and utilize RapiD to enrich OpenStreetMap.