How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets

By Mordechai (Muki) Haklay. 2010

1,756 citations recorded by the source corpus.

Subfields: Geography, Planning and Development, Transportation, Signal Processing

View Paper: https://www.semanticscholar.org/paper/3c0d65c53f19214f951a58012ad3926546b01ecd

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Citations in the corpus

A review of volunteered geographic information quality assessment methods (2017, methodology): “On the other hand OSM has also shown heterogeneity in coverage between diﬀerent places (Haklay 2010).”
Mapping the Data Shadows of Hurricane Sandy: Uncovering the Sociospatial Dimensions of ‘Big Data’ (2014, background): “…et al. (2012) employ a networked or topological understanding of sociospatial relations by focusing on social connections between Twitter users, while work by Goodchild and Li (2012); Haklay (2010) focused on questions about the quality and locational accuracy of volunteered geographic information.”
OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks (2016, result): “Its data quality is generally quite high (Barron, Neis, & Zipf, 2014; Girres & Touya, 2010; Haklay, 2010) and although data coverage varies worldwide, it is generally good when compared to corresponding estimates from the CIA World Factbook (Maron, 2015).”
Harvesting ambient geospatial information from social media feeds (2011, methodology): “Authors have already started to assess the quality of VGI like OpenStreetMap , by comparing it to established author-itative mapping organizations such as the United King-doms Ordnance Survey (Haklay 2010).”
Quality assessment for building footprints data on OpenStreetMap (2014, methodology): “In 2008, Haklay conducted a first analysis that investigated the data quality of roads in OSM for England (Haklay 2010).”
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges (2015, methodology): “Within geospatial big data in transport, a prominent example is research watching the quality of OpenStreetMap, which has become an open source for navigation services at a global scale.”
Topological Map Extraction From Overhead Images (2018, methodology): “This new dataset contains building footprints and road networks from OSM [17, 16, 14] and aerial images from Google Maps.”
A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis (2014, methodology): “For instance, Haklay (2010) compared the OSM road network with Ordnance Survey Meridian 2 for England and Kounadi (2011) with the Hellenic Military Geographical Service (HMGS) dataset for Athens, Greece.”
Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2012, background): “Other ﬁndings are more mixed, as in the Antoniou, Morley, and Haklay (2010) study of the reliability of spatial content associated with user-contributed photographs on Flickr.”
Assuring the quality of volunteered geographic information (2012, methodology): “Haklay (2010), for example, has compared the quality of OpenStreetMap with data from the Ordnance Survey of Great Britain, the national mapping agency.”
How Many Volunteers Does it Take to Map an Area Well? The Validity of Linus’ Law to Volunteered Geographic Information (2010, methodology): “Research by Haklay (2010), Ather (2009), Kounadi (2009), Ueberschlag (2010) and Girres and Touya (2010), which focused on the evaluation of the road network and compared it to other sources of information, has demonstrated that, in terms of positional accuracy, the quality of The Cartographic…”
Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr (2013, background): “Haklay (2010) showed that most of the data for England were contributed by only a few users and the difference of road data coverage between wealthy areas and poor areas is about 8% in OpenStreetMap (OSM).”