Transactions in GIS· 2013Q2
A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis
- 414citations
- Q2SCImago
- 2013year
Short summary
A new framework with over 25 methods and indicators enables intrinsic quality assessment of OpenStreetMap (OSM) data using only its historical data, bypassing the need for external reference datasets.
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduces a framework for intrinsic OpenStreetMap (OSM) quality analysis.
- The framework utilizes over 25 methods and indicators.
- Quality assessment is based solely on OSM's historical data, not external reference datasets.
- The framework is extensible, open-source, and enables repeatable analyses worldwide.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Transactions in GIS, 2013 · DOI ↗
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Field: Geography, Planning and Development
Geography, Planning and DevelopmentSocial Sciences