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

ISPRS International Journal of Geo-Information

David Fairbairn¹ 

[1] School of Civil Engineering & Geosciences, Newcastle University, Newcastle NE1 7RU, UK

关键词: geospatial dataset matching;    data quality;    accuracy assessment;    formal and informal data;    collaborative mapping;   

DOI  :  10.3390/ijgi2020349

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.