ANALYSIS METHODOLOGY OF OPENSTREETMAP DATA COMPLETENESS (CASE STUDY: CHISINAU CITY)

Abstract

In recent years, special attention has been paid to free and open geospatial data sources accessible to the whole world, which have benefits for all sectors of the national economy. Taking into account the interest in this topic, the article proposes a data completeness analysis for OpenStreetMap, that is based on crowd sourcing, compared to data sources available at the national level, such as statistical information from Public Institution Real Estate Cadastre registers or the Spatial Data Infrastructure of the Republic of Moldova (NSDI), Agency Geodesy, Cartography and Cadastre. Thus, a general methodology for completeness analysis framework is designed based on the characteristics of OSM data, since is a well-known standard. Secondly, an attempt was made to apply a quality assessment model for OSM data through three different quality elements: completeness, thematic accuracy and positional accuracy based on the visual and quantitative analyses taking into account the spatial data that already exists on national platforms. The Chisinau city was selected as a case study/area of interest, and the results of the presented research can subsequently be applied to the entire Republic of Moldova. Based on the analysis performed, it can conclude that spatial data sources, whether from official sources or those based on crowd sourcing, still need to be supplemented with both spatio-temporal and qualitative information.