Christopher Beddow
Christopher è un analista di dati geospaziali con il team di Maps @ Meta. Lavora con i dati Mapillary e OpenStreetMap, cercando di migliorare la qualità e i dettagli delle mappe di tutto il mondo, creare strumenti migliori per la modifica delle mappe e l'acquisizione dei dati e aiutare gli sviluppatori e gli utenti ad applicare dati e strumenti per risolvere le sfide del mondo reale. Christopher viene dagli Stati Uniti, vive nella Svizzera centrale, impara sempre a parlare più italiano e tedesco insieme a spagnolo, francese, arabo e ungherese e ama viaggiare, fare escursioni, sciare ed esplorare la geografia al computer e nella realtà.
Sessions
This workshop will be focused on teaching participants how to use the latest version of the Rapid map editor for OpenStreetMap. Over the course of the workshop, participants will gain valuable experience in mapping buildings, roads, and other critical geographic data that is relevant to their work or interests.
The workshop will begin with an introduction to the Rapid's interface, including the open data catalog, validation of AI data, and use of important hotkeys. Participants will learn how to navigate the Rapid interface and access Rapid via Tasking Manager project. After an introduction to Rapid and its connections to Tasking Manager projects, participants will join a project focused on a local region in Italy.
The workshop will emphasize accurately mapping roads and buildings with correct OSM tags, from highways to neighborhood roads, apartment blocks to retail buildings, and ensuring the AI or open data geometry and tags are corrected as needed. The workshop features extensive hands-on experience, allowing participants to work with the Rapid map editor tools on individual tasks, with validation assistance from the workshop organizer.
By the end of the workshop, participants will have the confidence and expertise to use the new Rapid editor in their typical OpenStreetMap routines. They will be able to map buildings, roads, and other important data with precision and accuracy, and understand the features offered by Rapid.
The workshop is ideal for anyone who works with open data, edits OpenStreetMap, has an interest in AI and machine learning datasets, and who wants to help improve OpenStreetMap in areas with large amounts of missing data. No previous OpenStreetMap experience is required. It is recommended that participants bring a laptop computer, or share with 1-2 other people to collaboratively edit. Participants should also register for an OpenStreetMap account at https://openstreetmap.org prior to the workshop.