OpenStreetMap – building data completeness visualization in terms of “Fitness for purpose”

The purpose of this article was to provide the user with information about the number of buildings in the analyzed OpenStreetMap (OSM) dataset in the form of data completeness indicators, namely the standard OSM building areal completeness index (C Index), the numerical completeness index (COUNT Ind...

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Main Authors: Sylwia Borkowska, Elzbieta Bielecka, Krzysztof Pokonieczny
Format: Article
Language:English
Published: Polish Academy of Sciences 2023-06-01
Series:Advances in Geodesy and Geoinformation
Subjects:
Online Access:https://journals.pan.pl/Content/127689/PDF/art_e35_internet.pdf
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author Sylwia Borkowska
Elzbieta Bielecka
Krzysztof Pokonieczny
author_facet Sylwia Borkowska
Elzbieta Bielecka
Krzysztof Pokonieczny
author_sort Sylwia Borkowska
collection DOAJ
description The purpose of this article was to provide the user with information about the number of buildings in the analyzed OpenStreetMap (OSM) dataset in the form of data completeness indicators, namely the standard OSM building areal completeness index (C Index), the numerical completeness index (COUNT Index) and OSM building location accuracy index (TP Index). The official Polish vector database BDOT10k (Database of Topographic Objects) was designated as the reference dataset. Analyses were carried out for Piaseczno County in Poland, differentiated by land cover structure and urbanization level. The results were presented in the form of a bivariate choropleth map with an individually selected class interval suitable for the statistical distribution of the analyzed data. The results confirm that the completeness of OSM buildings close to 100% was obtained mainly in built-up areas. Areas with a commission of OSM buildings were distinguished in terms of area and number of buildings. Lower values of completeness rates were observed in less urbanized areas. The developed methodology for assessing the quality of OSM building data and visualizing the quality results to assist the user in selecting a dataset is universal and can be applied to any OSM polygon features, as well as for peer review of other spatial datasets of comparable thematic scope and detail.
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spelling doaj.art-a6e1fa8027ad4c67a5f83f01e70459a92023-09-07T13:12:25ZengPolish Academy of SciencesAdvances in Geodesy and Geoinformation2720-72422023-06-01vol. 72No 1https://doi.org/10.24425/agg.2022.141922OpenStreetMap – building data completeness visualization in terms of “Fitness for purpose”Sylwia Borkowska0https://orcid.org/0000-0003-3183-1512Elzbieta Bielecka1https://orcid.org/0000-0003-3255-1264Krzysztof Pokonieczny2https://orcid.org/0000-0001-9114-5317Military University of Technology, Warsaw, PolandMilitary University of Technology, Warsaw, PolandMilitary University of Technology, Warsaw, PolandThe purpose of this article was to provide the user with information about the number of buildings in the analyzed OpenStreetMap (OSM) dataset in the form of data completeness indicators, namely the standard OSM building areal completeness index (C Index), the numerical completeness index (COUNT Index) and OSM building location accuracy index (TP Index). The official Polish vector database BDOT10k (Database of Topographic Objects) was designated as the reference dataset. Analyses were carried out for Piaseczno County in Poland, differentiated by land cover structure and urbanization level. The results were presented in the form of a bivariate choropleth map with an individually selected class interval suitable for the statistical distribution of the analyzed data. The results confirm that the completeness of OSM buildings close to 100% was obtained mainly in built-up areas. Areas with a commission of OSM buildings were distinguished in terms of area and number of buildings. Lower values of completeness rates were observed in less urbanized areas. The developed methodology for assessing the quality of OSM building data and visualizing the quality results to assist the user in selecting a dataset is universal and can be applied to any OSM polygon features, as well as for peer review of other spatial datasets of comparable thematic scope and detail.https://journals.pan.pl/Content/127689/PDF/art_e35_internet.pdfdata completenessdata qualitybivariate choropleth maposmvgi
spellingShingle Sylwia Borkowska
Elzbieta Bielecka
Krzysztof Pokonieczny
OpenStreetMap – building data completeness visualization in terms of “Fitness for purpose”
Advances in Geodesy and Geoinformation
data completeness
data quality
bivariate choropleth map
osm
vgi
title OpenStreetMap – building data completeness visualization in terms of “Fitness for purpose”
title_full OpenStreetMap – building data completeness visualization in terms of “Fitness for purpose”
title_fullStr OpenStreetMap – building data completeness visualization in terms of “Fitness for purpose”
title_full_unstemmed OpenStreetMap – building data completeness visualization in terms of “Fitness for purpose”
title_short OpenStreetMap – building data completeness visualization in terms of “Fitness for purpose”
title_sort openstreetmap building data completeness visualization in terms of fitness for purpose
topic data completeness
data quality
bivariate choropleth map
osm
vgi
url https://journals.pan.pl/Content/127689/PDF/art_e35_internet.pdf
work_keys_str_mv AT sylwiaborkowska openstreetmapbuildingdatacompletenessvisualizationintermsoffitnessforpurpose
AT elzbietabielecka openstreetmapbuildingdatacompletenessvisualizationintermsoffitnessforpurpose
AT krzysztofpokonieczny openstreetmapbuildingdatacompletenessvisualizationintermsoffitnessforpurpose