OpenStreetMap
How do volunteer mappers use crowdsourced Mapillary street level images to enrich OpenStreetMap?
Publeyêe per NunoCaldeira lo 15 May 2017 en English.Interesting reading: https://agile-online.org/images/conference_2017/Proceedings2017/shortpapers/77_ShortPaper_in_PDF.pdf
Abstract
An increasing number of crowdsourced geo-data repositories and their services allows volunteer mappers to utilize information from various data sources when contributing data to a crowd-sourced mapping platform. This study explores to which extent OpenStreetMap (OSM) contributors use the crowdsourced street level photo service Mapillary to derive mappable data for OSM during their editing sessions in the iD and JOSM editors. We cross-check the location of OSM edits with the geographic areas from which OSM contributors loaded Mapillary images into the editors to determine which OSM edits could have been based on information from Mapillary images. The findings suggest that OSM mappers are beginning to utilize information from street level images in their mapping workflow. This observed “cross-viewing” pattern between different datasets indicates that the use of data from one VGI platform to enhance that of another is a real phenomenon, leading to implications for VGI data quality.
Discussion
Comentèro de Chetan_Gowda lo 15 May 2017 a 13:55
Thanks for sharing this article Nuno.
Comentèro de philippec lo 16 May 2017 a 07:56
I almost always map with my mapillary pictures. I use the ID or JOSM extensions only for paths or as a last resort. I seldom do paths.
Comentèro de philippec lo 16 May 2017 a 12:23
Instead of sowing their notes all over the place, some people would be useful if they followed my mapillary sequences and mapped according. I make very good sequences these days.