Using Geometric Properties to Evaluate Possible Integration of Authoritative and Volunteered Geographic Information

David Fairbairn · Maythm Al-Bakri

36 citations0/0 files storedISPRS International Journal of Geo-Information

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

Abstract

The assessment of data quality from different sources can be considered as a key challenge in supporting effective geospatial data integration and promoting collaboration in mapping projects. This paper presents a methodology for assessing positional and shape quality for authoritative large-scale data, such as Ordnance Survey (OS) UK data and General Directorate for Survey (GDS) Iraq data, and Volunteered Geographic Information (VGI), such as OpenStreetMap (OSM) data, with the intention of assessing possible integration. It is based on the measurement of discrepancies among the datasets, addressing positional accuracy and shape fidelity, using standard procedures and also directional statistics. Line feature comparison has been undertaken using buffering techniques and statistics, whilst shape metrics, including moments invariant, have been applied to assess polygon matching. The analyses are presented with a user-friendly interface which eases data input, computation and output of results, and assists in interpretation of the comparison. The results show that a comparison of positional and shape characteristics of OS data or GDS data, with those of OSM data, indicates that their integration for large scale mapping applications is not viable.

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References

2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets 2007Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 2010Quality Assessment of the French OpenStreetMap Dataset 1997A simple positional accuracy measure for linear features 2012Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap 2008Positional Accuracy of Spatial Data: Non‐Normal Distributions and a Critique of the National Standard for Spatial Data Accuracy 2013Using control data to determine the reliability of volunteered geographic information about land cover 1999An accuracy assessment method for geographical line data sets based on buffering

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2018Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries 2014A flexible framework for assessing the quality of crowdsourced data 2016A Spatio-Temporal VGI Model Considering Trust-Related Information 2014Map Generalisation: Fundamental to the Modelling and Understanding of Geographic Space

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