Novel tool for examination of data completeness based on a comparative study of VGI data and official building datasets

Joanna Nowak Da Costa

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Geographic Information Systems Studies 3D Modeling in Geospatial Applications Automated Road and Building Extraction

Abstract

The goal of this study was a better understanding of the quality of Volunteered Geographic Information (VGI), and by extension its utility. The research focused on the applicability of OpenStreetMap (OSM) building data for official spatial databases. In terms of feature completeness, the achieved results are in-line with other similar studies. The study concluded that in town centres the completeness of OSM data is relatively high but decreases further away from urban centres. It demonstrated that attribute completeness also relies on the level of urbanization as well as the nature of attribute. Furthermore, a very high overall positional accuracy was determined for OSM building data that ranged between 0.6 m in urban areas and 1.7 m in rural areas. This result is more than five times better than the frequently cited OSM accuracy results obtained by Haklay in 2010. In this work, a novel tool is introduced to help assess the completeness of OSM building-tagged features. The proposed index, called the matching feature area-based completeness, estimates the completeness of any areal feature set. This index is also flexible because it is neither affected by discrepancies in the feature outline modelling nor by the degree of abstraction. In addition, the author proposed a simple method to update the official register using the large volume of OSM building data “over-completeness” together with the building data excess indicator.

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References

2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets 2010Crowdsourcing geographic information for disaster response: a research frontier 2011Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice 2012Assuring the quality of volunteered geographic information 2007Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 2010Quality Assessment of the French OpenStreetMap Dataset 2014Quality assessment for building footprints data on OpenStreetMap 1997A simple positional accuracy measure for linear features

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2019Spatial data quality and uncertainty publication patterns and trends by bibliometric analysis 2022Analyzing the Behaviors of OpenStreetMap Volunteers in Mapping Building Polygons Using a Machine Learning Approach 2020Geometric and semantic quality assessments of building features in OpenStreetMap for some areas of Istanbul 2019Opportunities for using the volunteered geographic information within the national spatial data infrastructure

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