The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis
Abstract
OpenStreetMap (OSM) is one of the most popular examples of a Volunteered Geographic Information (VGI) project. In the past years it has become a serious alternative source for geodata. Since the quality of OSM data can vary strongly, different aspects have been investigated in several scientific studies. In most cases the data is compared with commercial or administrative datasets which, however, are not always accessible due to the lack of availability, contradictory licensing restrictions or high procurement costs. In this investigation a framework containing more than 25 methods and indicators is presented, allowing OSM quality assessments based solely on the data's history. Without the usage of a reference data set, approximate statements on OSM data quality are possible. For this purpose existing methods are taken up, developed further, and integrated into an extensible open source framework. This enables arbitrarily repeatable intrinsic OSM quality analyses for any part of the world.
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Cites
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Metadata
- Authors
- Barron, C., Neis, P., & Zipf, A.
- Venue
- Transactions in GIS
- Publisher
- Wiley
- Published
- 2013-12-23
- Volume
- 18
- Issue
- 6
- Pages
- 877-895
- ISSN
- 1361-1682 (ISSN-L)
- 1467-9671
- OpenAlex
- W1567900972
- Cited by
- 411
- References
- 25
- FWCI
- 116.54
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
