This event has ended. Create your own event → Check it out
This event has ended. Create your own
Columbia University’s Data Science Institute Presents:

Authors/Collaborators are listed in alphabetical order.

View analytic
Wednesday, April 6 • 2:00pm - 4:30pm
Crowd-Sourcing Data and Quality Control: OSM Roads Validation in Low-Income Countries [P13]

Sign up or log in to save this to your schedule and see who's attending!

Launched in 2004, OpenStreetMap (OSM) is the largest collaborative project to date to create free and editable cartographic data of the world. This study aims to validate quality aspects of road features in OSM such as positional accuracy, completeness, and lineage in four West African countries. A series of test diagnostics integrates statistical and spatial analysis to measure positional accuracy at road intersections against satellite imagery from Google Earth; completeness via discrete classification, spatial regression, and inter-settlement connectivity analyses; and finally, lineage by comparing versioning of road features against positional accuracy results. All the analysis is conducted in R and ArcGIS. This work was completed by CIESIN, a unit of the Earth Institute at Columbia University, under the CODATA Task Group for Global Roads Data Development.

Demo/Poster Presenter
avatar for Paola Kim-Blanco

Paola Kim-Blanco

Senior Staff Associate, Earth Institute, Center for International Earth Science Information Network

Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (4)