AGILE-GISS AGILE: GIScience Series AGILE-GISS AGILE GIScience Ser. 2700-8150 Copernicus Publications Göttingen, Germany 10.5194/agile-giss-2-20-2021 Assessing shop completeness in OpenStreetMap for two federal states in Germany Brückner Josephine 1 Schott Moritz 1 Zipf Alexander 1 2 Lautenbach Sven 1 2 Institute of Geography, GIScience, Heidelberg University, 69120 Heidelberg, Germany HeiGIT at Heidelberg University, 69120 Heidelberg, Germany 04 06 2021 2 20 Copyright: © 2021 Josephine Brückner et al. 2021 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://agile-giss.copernicus.org/articles/2/20/2021/agile-giss-2-20-2021.html The full text article is available as a PDF file from https://agile-giss.copernicus.org/articles/2/20/2021/agile-giss-2-20-2021.pdf

The completeness of the number of Open- StreetMap (OSM) retail stores was estimated for two federal states of Germany at district level. An intrinsic measurement was applied that fits saturation models on the cumulative curve of the number of OSM retail stores over time. Even though the mean completeness of retail stores was estimated high in both states, the values within the states varied between 42 % and 100 %. The question therefore arises in which areas retail stores are well represented in OSM and whether economically weaker regions are possibly also digitally disadvantaged on the map. We investigated the influence of the urban-rural gradient as well as the influence of socioeconomic factors (gross domestic product, the unemployment rate, the proportion of academics) on the estimated completeness by means of a generalized linear model. Our results indicate that average big cities with low unemployment rate are better mapped with respect to retail stores.