Work

Measuring the Attribute Accuracy and Completeness for the OpenStreetMap Roads Networks for Two Regions in Iraq

Year: 2023

Type: article

Abstract: The OpenStreetMap (OSM) project aims to establish a free geospatial database for the entire world which is editable by international volunteers. The OSM database contains a wide range of different types of geographical data and characteristics, including highways, buildings, and land use regions. The varying scientific backgrounds of the volunteers can affect the quality of the spatial data that is produced and shared on the internet as an OSM dataset. This study aims to compare the completeness and attribute accuracy of the OSM road networks with the data supplied by a digitizing process for areas in the Baghdad and Thi-Qar governorates. The analyses are primarily based on calculating the portion of the commission (extra road) and omission (missing road) for OSM roads. The calculations also involved measuring the classifications and the attribute correctness associated with geometrical shapes. The results indicated that the completion rates were very high in the two study areas, and the percentages of labels or names were low in the two study areas. However, it was better on the main roads than in other road classes.

Source: Journal of Engineering

DOI: 10.31026/j.eng.2023.05.12

Authors: Zahraa Kareem Gatea, Maythm AL-Bakri

Institution: University of Baghdad

Language: English

Topic: Geographic Information Systems Studies

Subfield: Geography, Planning and Development

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $60