A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis among Most Cited Paper in Transactions in GIS
Sep 9th, 2020 by GIScienceHD
We are happy to share that our paper “A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis” (Barron, Neis, Zipf 2013) belongs to the top 5 most cited papers of the international journal “Transaction in GIS” (TGIS). Only recently we became aware of this. Thank you for considering this work.
Certainly this paper influenced also our work afterwards leading to further publications related to VGI and especially OSM quality assessment methods, reviews and case studies.
But very importantly was also the motivation for developing the OpenStreetMap history analytics platform ohsome.org based on our OpenStreetMap history database (OSHDB). This platform aims at scalable, efficient and reproducible intrinsic OSM quality analytics for the whole globe. It allows to investigate the mapping history of OSM. Here we shortly introduce the general architecture. You can access the current version already through the OSHDB, dashboards, esp. the OSM History EXplorer ohsomeHEX and the open Ohsome API (see here the interactive API documentation). Maybe you want to include your own analytics functionality through contributing to the active open source project? Learn more about using the API through the Blog series: How to become ohsome or in general http://giscienceblog.uni-heidelberg.de/tag/ohsome/
Barron, C., Neis, P. & Zipf, A. (2013): A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis. , Transactions in GIS, 18(6), 877-895. DOI: 10.1111/tgis.12073.
List of Best Paper in TGIS: https://onlinelibrary.wiley.com/journal/14679671#pane-01cbe741-499a-4611-874e-1061f1f4679e11?tabActivePane=
Selected related work:
- Raifer, M; Troilo, R; Kowatsch, F; Auer, M; Loos, L; Marx, S; Przybill, K; Fendrich, S; Mocnik, F-B; Zipf, A (2019): OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data. Open Geospatial Data, Software and Standards.
- Degrossi L.C., J. Porto de Albuquerque, R. dos Santos Rocha, A. Zipf (2018): A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information. Transactions in GIS (TGIS). Wiley. DOI:10.1111/tgis.12329.
- Ballatore, A. and Zipf, A. (2015): A Conceptual Quality Framework for Volunteered Geographic Information. COSIT - CONFERENCE ON SPATIAL INFORMATION THEORY XII. October 12-16, 2015. Santa Fe, New Mexico, USA. Lecture Notes in Computer Science, pp. 1-20.
- Ludwig, C., Fendrich, S., Zipf, A. (2020 accepted): Regional Variations of Context-based AssociationRules in OpenStreetMap. Transactions in GIS DOI: 10.1111/tgis.12694
- Yan, Y., C. Feng, W. Huang, H. Fan, Y. Wang & A. Zipf (2020): Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2020.1730848
- Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M. (Eds.)(2015): OpenStreetMap in GIScience: Experiences, Research, and Applications. Series: Lecture Notes in Geoinformation and Cartography. 2015, VII, 373 p. Sringer Science. Heidelberg, Berlin. ISBN 978-3-319-14279-1
- Auer, M.; Eckle, M.; Fendrich, S.; Griesbaum, L.; Kowatsch, F.; Marx, S.; Raifer, M.; Schott, M.; Troilo, R.; Zipf, A. (2018): Towards Using the Potential of OpenStreetMap History for Disaster Activation Monitoring. ISCRAM 2018. Rochester. NY. US.
- Wu, Zhaoyan, Li, Hao, & Zipf, Alexander. (2020). From Historical OpenStreetMap data to customized training samples for geospatial machine learning. In proceedings of the Academic Track at the State of the Map 2020 Online Conference, July 4-5 2020. DOI: http://doi.org/10.5281/zenodo.3923040
- Mocnik, F.-B., Zipf, A., Raifer, M. (2017): The OpenStreetMap folksonomy and its evolution. Geo-spatial Information Science. DOI: 10.1080/10095020.2017.1368193.
- Arsanjani,L. J., Mooney, P., Zipf, A., Schauss, A., (2015): Quality assessment of the contributed land use information from OpenStreetMap versus authoritative datasets. In: Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M., OpenStreetMap in GIScience: experiences, research, applications. ISBN:978-3-319-14279-1, PP. 37-58, Springer.
- Schultz, M., Voss, J., Auer, M., Carter, S., and Zipf, A. (2017): Open land cover from OpenStreetMap and remote sensing. International Journal of Applied Earth Observation and Geoinformation, 63, pp. 206-213. DOI: 10.1016/j.jag.2017.07.014
- Fan H., Zipf A., Fu Q. and Neis P. 2014. Quality assessment for building footprints data on OpenStreetMap. In: International Journal of Geographical Information Science. DOI: 10.1080/13658816.2013.867495
- Li, H., Herfort, B., Huang, W., Zia, M. and Zipf, A. (2020): Exploration of OpenStreetMap Missing Built-up Areas using Twitter Hierarchical Clustering and Deep Learning in Mozambique. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2020.05.007
- Li, H., Herfort, B., Zipf, A. (2019): Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks. 22nd AGILE Conference on Geographic Information Science, Limassol, Cyprus.
- Grinberger , Y., Schott, M., Raifer, M., Troilo, R. Zipf, A. (2019). Analyzing the spatio-temporal patterns and impacts of large-scale data production events in OpenStreetMap In: Minghini, M., Grinberger, A.Y., Juhász, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019, 9-10. Heidelberg.
- Ludwig, C., Hecht, Lautenbach, S., Schorcht, Zipf, A. (2019). Assessing the Completeness of Urban Green Spaces in OpenStreetMap In: Minghini, M., Grinberger, A.Y., Juhász, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019, 21-22. Heidelberg.
- Klonner, Hartmann, Djami, Zipf, A. (2019). “Ohsome” OpenStreetMap Data Evaluation: Fitness of Field Papers for Participatory Mapping In: Minghini, M., Grinberger, A.Y., Juhász, L., Yeboah, G., Mooney, P. (Eds.). Proceedings of the Academic Track at the State of the Map 2019, 35-36. Heidelberg.
- Jonietz, D., Zipf, A. (2016,): Defining fitness-for-use for crowdsourced points of interest (POI). ISPRS Internat. Journal of Geo-Information. 2016. 5(9), 149; DOI:10.3390/ijgi5090149
- Ali A.L., Sirilertworakul, N., Zipf, A., Mobasheri, A. (2016): Guided Classification System for Conceptual Overlapping Classes in OpenStreetMap. ISPRS Int. J. Geo-Inf. 2016, 5(6), 87; DOI:10.3390/ijgi5060087
- Yang, A., H. Fan, N. Jing, Y. Sun, A. Zipf (2016): Temporal Analysis on Contribution Inequality in OpenStreetMap: A Comparative Study for Four Countries. ISPRS International Journal of Geo-Information. 5(1), 5.
- Dorn, H., Törnros, T. & Zipf, A. (2015): Quality Evaluation of VGI using Authoritative Data – A Comparison with Land Use Data in Southern Germany. ISPRS International Journal of Geo-Information. Vol 4(3), pp. 1657-1671, doi: 10.3390/ijgi4031657