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

Main Article Content

Zahraa Kareem Gatea
Maythm AL-Bakri

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.

Article Details

How to Cite
“Measuring the Attribute Accuracy and Completeness for the OpenStreetMap Roads Networks for Two Regions in Iraq” (2023) Journal of Engineering, 29(05), pp. 156–168. doi:10.31026/j.eng.2023.05.12.
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How to Cite

“Measuring the Attribute Accuracy and Completeness for the OpenStreetMap Roads Networks for Two Regions in Iraq” (2023) Journal of Engineering, 29(05), pp. 156–168. doi:10.31026/j.eng.2023.05.12.

Publication Dates

References

Abd Ali, M., Al-Janabi, H., 2010. The spatial distribution of the central commercial land uses in the city of Baghdad (an attempt to determine their locations and ease of access to them). AL-Adab journal, 7(93), pp. 215-224. doi:10.3390/ijgi1030315

Al-Bakri, M., 2015. Ten years of OpenStreetMap project: have we addressed data quality appropriately? –Review Paper. Journal of Engineering, 21(4), pp.158–175.

https://joe.uobaghdad.edu.iq/index.php/main/article/view/448

Al-Bakri, M., and Sfoog, Z., 2018. Matching assessment of road network objects of volunteered geographic information. Association of arab universities journal of engineering Sciences, 25(1), pp.145-159.‏ https://jaaru.org/index.php/auisseng/article/view/115

Anderson, P., 2007. What is web 2.0?: ideas, technologies and implications for education. JISC technical report. http://www.jisc.ac.uk/media/documents/techwatch/tsw0701b.pdf

Ariza López, F., Barreira González, P., Masó Pau, J., Zabala Torres, A., Rodríguez Pascual, A. F., Moreno Vergara, G., and García Balboa, J., 2020. Geospatial data quality (ISO 19157-1): evolve or perish. Revista cartográfica, (100), pp. 129-154.‏ doi:10.35424/rcarto.v0i100.692

Barron, C., Neis, P., and Zipf, A., 2014. A comprehensive framework for intrinsic OpenStreetMap quality analysis. Transactions in GIS, 18(6), pp. 877-895.‏ doi.org/10.1111/tgis.12073.

Brownson, R., Hoehner, C., Brennan, L., Cook, R., Elliott, M., and McMullen, K., 2004. Reliability of 2 instruments for auditing the environment for physical activity. Journal of physical activity and health, 1(3), pp. 191-208.‏ doi:10.1123/jpah.1.3.191

Geofabric. 2022. OpenStreetMap data extracts. Retrieved on 10 January 2022, From: https://download.geofabrik.de/

Goodchild, M., 2007. Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4), p.p. 211-221. doi.org/10.1007/s10708-007-9111-y

Hassan, A., and Ibrahim, A., 2018. Determine the radon gas level using the GIS technique for Baghdad city. Iraqi Journal of Science, 59(1A), pp. 218-226.‏ doi:10.24996/ijs.2018.59.1A.23

Jasim, S., and Al-Hamadani, O., 2020. Positional accuracy assessment for updating authoritative geospatial datasets based on open source data and remotely sensed images. Journal of Engineering, 26(2), pp. 70-84. doi.org/10.31026/j.eng.2020.02.06

Khazael, S., and Al-Bakri, M., 2021. The optimum site selection for solar energy farms using AHP in GIS environment, a case study of Iraq. Iraqi Journal of Science, 26(11), pp. 4571-4587. doi.org/10.24996/ijs.2021.62.11(SI).36

Kuhn, W., 2007. Volunteered geographic information and GIScience. Position paper for the NCGIA and Vespucci workshop on volunteered geographic information; Santa Barbara, CA, December 13-14, pp. 1-13.

Morrison, L., 1995. spatial data quality, editor(s): Stephen, C., Morrison, L., in international cartographic association, Elements of Spatial Data Quality, pergamon, Elsevier Ltd, pp. 1-12. doi:10.1016/C2009-0-14900-0

Neis, P., Goetz, M., Zipf, A., 2012. Towards automatic vandalism detection in OpenStreetMap. ISPRS International Journal of Geo-Information, 1(3), pp. 315-332.‏ doi.org/10.3390/ijgi1030315.

Neis, P., Zielstra, D., Zipf, A., 2013. Comparison of volunteered geographic information data contributions and community development for selected world regions. Future internet, 5(2), pp. 282-300. doi:10.3390/fi5020282

Shenechel, D., 2015. Characteristics of the population of Al-Maimouna district for the period 1997-2007 AD and its expectations for the year 2017 AD. Journal of Education, 1(20), pp. 505-542. doi:10.31185/eduj.Vol1.Iss20.264

Siebritz, L.-A., 2014. Assessing the accuracy of openstreetmap data in south africa for the purpose of integrating it with authoritative data, Master thesis, University of Cape Town. http://hdl.handle.net/11427/9148.

Wattan, S., and Al-Bakri, M., 2019. Development of bridges maintenance management system based on geographic information system techniques (case study: AlMuthannaIraq). Journal of Engineering, 25(7): pp. 21-36. doi.10.31026/j.eng.2019.07.02.

Yang, X., Blower, D., Bastin, L., Lush, V., Zabala, A., Masó, J., Cornford, D., Díaz, P., Lumsden, J., 2013. An integrated view of data quality in Earth observation. Phil. Trans. R. Soc. A., 371, p. 20120072. doi:10.1098/rsta.2012.0072.

Zhang, H., 2017. Quality assessment of the Canadian OpenStreetMap road networks. Doctoral dissertation, The University of Western Ontario, Canada.‏ Electronic Thesis and Dissertation Repository. P.4560. https://ir.lib.uwo.ca/etd/4560

Zheng, S., J., and Zheng, 2014. Assessing the completeness and positional accuracy of OpenStreetMap in China. Thematic cartography for the society, book chapter, Springer, pp. 171-189. doi:10.1007/978-3-319-08180-9_14.

Zhou, Q., and Li, Z., 2017. A comparative study of various supervised learning approaches to selective omission in a road network. The Cartographic Journal, 54(3), pp. 254-264 doi:10.1179/1743277414Y.0000000083.

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