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A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis
Author(s) -
Barron Christopher,
Neis Pascal,
Zipf Alexander
Publication year - 2014
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/tgis.12073
Subject(s) - volunteered geographic information , quality (philosophy) , computer science , procurement , data quality , set (abstract data type) , data science , data mining , open data , extensibility , open source , information retrieval , world wide web , metric (unit) , business , engineering , software , operations management , philosophy , epistemology , marketing , programming language , operating system
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.