OpenStreetMap
How do volunteer mappers use crowdsourced Mapillary street level images to enrich OpenStreetMap?
Diposkan oleh NunoCaldeira pada 15 Mei 2017 dalam EnglishInteresting 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
Ulasan Chetan_Gowda terhadap 15 Mei 2017 pada 13:55
Thanks for sharing this article Nuno.
Ulasan philippec terhadap 16 Mei 2017 pada 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.
Ulasan philippec terhadap 16 Mei 2017 pada 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.