DEVELOPMENT OF AN OPEN SOURCE QGIS PLUG-IN FOR ASSESSING THE QUALITY OF ROAD NETWORK DATA IN REGIONAL FORESTRY TRANSPORTATION PROJECTS

                  E. S. Podolskaia^1*, I. M. Zinyaev²

                         ¹ Isaev Centre for Forest Ecology and Productivity of the RAS

                      Profsoyuznaya st. 84/32 bldg. 14, Moscow 117997, Russia            

²MIREA – Russian Technological University

Vernadsky avenue, 78, Moscow 119454, Russia

*E-mail: podols_kate@mail.ru

Received: 02.06.2025

Revised: 19.06.2025

Accepted: 15.07.2025

Paper presents the development of a plugin for Open Source QGIS for automated assessment of data quality of road network when solving the logistics and transport problems of the forestry complex and infrastructure projects in a Russian region (Novosibirsk region). Automation of data quality assessment is especially relevant in the context of Open Data use, diversity and an increase in the number of sources. National standards, industry documents, cases of Russian companies were studied. The developed plug-in “Compare_road” is used to analyze and verify data on roads in the format of vector linear files. During the analysis, the following metrics are calculated: accuracy of compliance, completeness and data relevance. Plug-in is published on GitHub under the MIT license. The target audience of the plug-in is researchers, students and amateur-users. To test the work of the plug-in, an analysis of data on the road network of the Novosibirsk region of the Natural Earth, VMAP, Digital Chart of the World projects was carried out using OSM as a reference. The best accuracy indicators were shown by the Digital Chart of the World – 270.7 m, the best VMAP data completeness indicator – 22.6%. The analysis of roads data quality for the forestries of Novosibirsk region was carried out. Best quality resullts have Tatarskoye (127.6 m, 35.9 %) and Maslyaninskoye (154 m, 35.9 %), worst – Kushtovskoye (378.5 m, 0.7 %) and Suzunskoye (418 m, 1.5 %).  

Keywords: GIS, Open Source, QGIS, plug-in, OSM, Natural Earth, road network, quality assessment

 

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