Publikationen

Fila, M., Štampach, R., & Herfort, B. (2025). AI-generated buildings in OpenStreetMap: frequency of use and differences from non-AI-generated buildings. International Journal of Digital Earth, 18(1), 2473637. https://doi.org/10.1080/17538947.2025.2473637
Nalin, A., Fulman, N., Wilke, E. C., Ludwig, C., Zipf, A., Lantieri, C., Vignali, V., & Simone, A. (2025). Evaluation of accessibility disparities in urban areas during disruptive events based on transit real data. Communications in Transportation Research, 5, 100160. https://doi.org/10.1016/j.commtr.2024.100160
Li, Y., Zhang, Y., Randhawa, S., Yang, C., & Zipf, A. (2025). STVAE: Skip connection driven Two-stream property fusion Variational AutoEncoder for cross-region wastewater treatment plant semantic segmentation. Information Fusion, 118, 102960. https://doi.org/10.1016/j.inffus.2025.102960
Schultz, M., Li, H., Wu, Z., Wiell, D., Auer, M., & Alexander, Z. (2025). OSMlanduse a dataset of European Union land use at 10 m resolution derived from OpenStreetMap and Sentinel-2. Scientific Data, 12(1), 750. https://doi.org/10.1038/s41597-025-04703-8
Knoblauch, S., Muthusamy, R. K., Moritz, M., Kang, Y., Li, H., Lautenbach, S., Pereira, R. H. M., Biljecki, F., Gonzalez, M. C., Barbosa, R., Hirata, D. V., Ludwig, C., Adamiak, M., de A. Rocha, A. A., & Zipf, A. (2025). Crime-associated inequality in geographical access to education: Insights from the municipality of Rio de Janeiro. Cities, 160, 105818. https://doi.org/10.1016/j.cities.2025.105818
Szamek, L., Graffman, D. A., Kitzinger, M., Lautenbach, S., & Zipf, A. (2025). Towards Green Cities: The Impact of Bus-Priority Lanes on Emission Control for Highly Congested Metropolitan Areas During Peak Times. Zenodo. https://doi.org/10.5281/zenodo.15335902
Knoblauch, S., Mukaratirwa, R. T., Pimenta, P. F. P., de A Rocha, A. A., Yin, M. S., Randhawa, S., Lautenbach, S., Wilder-Smith, A., Rocklöv, J., Brady, O. J., Biljecki, F., Dambach, P., Jänisch, T., Resch, B., Haddawy, P., Bärnighausen, T., & Zipf, A. (2025). Urban Aedes aegypti suitability indicators: a study in Rio de Janeiro, Brazil. The Lancet Planetary Health, 9(4), e264–e273. https://doi.org/10.1016/S2542-5196(25)00049-X
Knoblauch, S., Heidecke, J., de A. Rocha, A. A., Paolucci Pimenta, P. F., Reinmuth, M., Lautenbach, S., Brady, O. J., Jänisch, T., Resch, B., Biljecki, F., Rocklöv, J., Wilder-Smith, A., Bärnighausen, T., & Zipf, A. (2025). Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction. Scientific Reports, 15(1), 7994. https://doi.org/10.1038/s41598-025-91950-9
Hanny, D., Arifi, D., Knoblauch, S., Resch, B., Lautenbach, S., Zipf, A., & de Aragão Rocha, A. A. (2025). An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro. Computational Urban Science, 5(1), 13. https://doi.org/10.1007/s43762-025-00172-2
Mayen Huerta, C., Ivanescu, C., Herfort, B., Badowski, P., & Gontariu, D. (2025). Leveraging geospatial data to evaluate women’s employment opportunities in the renewable energy sector. Energy Research & Social Science, 120, 103917. https://doi.org/10.1016/j.erss.2024.103917
Arifi, D., Resch, B., Santillana, M., Guan, W. W., Knoblauch, S., Lautenbach, S., Jaenisch, T., Morales, I., & Havas, C. (2025). Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: Observational Study. JMIR Infodemiology, 5, e58539. https://doi.org/10.2196/58539
Hatfield, C. R. S., Kustar, A., Reinmuth, M., Cap, C., Beshir, A. A., Klopp, J. M., Zipf, A., Rising, J., & Tun, T. H. (2025). Lessons in traffic: Nairobi’s school term congestion and equity challenges. African Transport Studies, 3, 100044. https://doi.org/10.1016/j.aftran.2025.100044
Tockner, L., Herfort ,Benjamin, Lautenbach ,Sven, & and Zipf, A. (2025). Corporate mapping in OpenStreetMap – shifting trends in global evolution and small-scale effects. Geo-Spatial Information Science, 1–20. https://doi.org/10.1080/10095020.2025.2493076
Randhawa, S., Aygün, E., Randhawa, G., Herfort, B., Lautenbach, S., & Zipf, A. (2025). Paved or unpaved? A deep learning derived road surface global dataset from mapillary street-view imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 223, 362–374. https://doi.org/10.1016/j.isprsjprs.2025.02.020
von Elverfeldt, K., Block, S., Schott, M., Kemmer, J., Wilke, E., Winkler, B., Fallast, M.-T., Udoma-Ejorh, O., Ulrich, V., Gatland, D., Martin, M., Bayer, I., Parashar, S., Neumann, D., Hatfield, C., Adamiak, M., & Zipf, A. (2025). hiWALK and hiBIKE: Co-created Indices to Foster Active Mobility for All. Tagungsband 14-16 April 2025, 587–597. https://archive.corp.at/cdrom2025/papers2025/CORP2025_44.pdf
Marler, A., Roell, Y., Knoblauch, S., Messina, J. P., Jaenisch, T., & Karimzadeh, M. (2025). GeoDEN: A Visual Exploration Tool for Analyzing the Geographic Spread of Dengue Serotypes. Computer Graphics Forum, e70087.
Zhao, T., Heinrich, J., Brauer, M., Fulman, N., Idrose, N. S., Baumbach, C., Buters, J., Markevych, I., Ritz, B., Tham, R., Yang, B.-Y., Zeng, X.-W., Alashhab, S., Gui, Z.-H., Lin, L.-Z., Nowak, D., Sadeh, M., Singh, N., Dong, G.-H., & Fuertes, E. (2025). Urban greenspace under a changing climate: Benefit or harm for allergies and respiratory health? Environmental Epidemiology, 9(2). https://doi.org/10.1097/EE9.0000000000000372
Hatfield, C., Kustar, A., Reinmuth, M., Cap, C., Beshir, A. A., Klopp, J., Zipf, A., Rising, J., & Tun, T. (2024, March 5). Lessons in Traffic: Nairobi’s School Term Congestion and Equity Challenges. African Transport Research Conference, Cape Town. https://doi.org/10.1016/j.ijepes.2021.00.000
Knoblauch, S., Su Yin, M., Chatrinan, K., de Aragao Rocha, A. A., Haddawy, P., Biljecki, F., Lautenbach, S., Resch, B., Arifi, D., Jänisch, T., Morales, I., & Zipf, A. (2024). High‑resolution mapping of urban  Aedes aegypti immature abundance  through breeding site detection  based on satellite and street view  imagery. Scientific Records, 14(18777), 1–13. https://doi.org/10.1038/s41598-024-67914-w
Memduhoğlu, A., Fulman, N., & Zipf, A. (2024). Enriching building function classification using Large Language Model embeddings of OpenStreetMap Tags. Earth Science Informatics, 1–16. https://doi.org/10.1007/s12145-024-01463-8
Li, W., Arundel, S., Gao, S., Goodchild, M., Hu, Y., Wang, S., & Zipf, A. (2024). GeoAI for Science and the Science of GeoAI. Journal of Spatial Information Science, 1–17. https://doi.org/10.5311/JOSIS.2024.29.349
Knoblauch, S., Groß, S., Lautenbach, S., Augusto de Aragão Rocha, A., González, M. C., Resch, B., Arifi, D., Jänisch, T., Morales, I., & Zipf, A. (2024). Long-term validation of inner-urban mobility metrics derived from Twitter/X. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/23998083241278275
Knoblauch, S., Szamek, L., Wenk, J., Chazua, I., Maholi, I., Adamiak, M., Lautenbach, S., & Zipf, A. (2024). UAV-Assisted Municipal Solid Waste Monitoring for Informed Disposal Decisions. Proceedings of the 2024 International Conference on Information Technology for Social Good, 105–113. https://doi.org/10.1145/3677525.3678649
Fulman, N., Memduhoğlu, A., & Zipf, A. (2024). Distortions in Judged Spatial Relations in Large Language Models: The Dawn of Natural Language Geographic Data? https://doi.org/10.48550/arXiv.2401.04218
Foshag, K., Fürle, J., Ludwig, C., Fallmann, J., Lautenbach, S., Rupp, S., Burst, P., Betsch, M., Zipf, A., & Aeschbach, N. (2024). How to assess the needs of vulnerable population groups towards heat-sensitive routing? ERDKUNDE, 1–33. https://doi.org/10.3112/erdkunde.2024.01.01
Porto de Albuquerque, J., Anderson, L., Calvillo, N., Cattino, M., Clarke, A., Cunha, M. A., Degrossi, L. C., Garde-Hansen, J., Klonner, C., Lima-Silva, F., Marchezini, V., Martins, M. H. da M., Pajarito Grajales, D., Pitidis, V., Rizwan, M., Tkacz, N., & Trajber, R. (2023). Dialogic data innovations for sustainability transformations and flood resilience: The case for waterproofing data. Global Environmental Change, 82, 102730. https://doi.org/10.1016/j.gloenvcha.2023.102730
Ullah, T., Lautenbach, S., Herfort, B., Reinmuth, M., & Schorlemmer, D. (2023). Assessing Completeness of OpenStreetMap Building Footprints Using MapSwipe. ISPRS International Journal of Geo-Information, 12(4), 143. https://doi.org/10.3390/ijgi12040143
Klinkhardt, C., Kühnel, F., Heilig, M., Lautenbach, S., Wörle, T., Vortisch, P., & Kuhnimhof, T. (2023). Quality Assessment of OpenStreetMap’s Points of Interest with Large-Scale Real Data. Transportation Research Record: Journal of the Transportation Research Board, 2677(12), 661–674. https://doi.org/10.1177/03611981231169280
Martinez-Soto, A., Fürle, J., & Zipf, A. (2023). Urban Heat Island Intensity Prediction in the Context of Heat Waves: An Evaluation of Model Performance. Engineering Proceedings, 80. https://doi.org/10.3390/engproc2023039080
Randhawa, S., Randhawa, G., Sivak, O., Zech, J., Martin, M., Zipf, A., & Li, Y. (2023). Multiscale Multifeature Vision Learning for Scalable and Efficient Wastewater Treatment Plant Detection using Hi-Res Satellite Imagery and OSM. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI, 10–21. https://doi.org/10.1145/3615900.3628772
Schott, M., Zell, A., Lautenbach, S., Sumbul, G., Schultz, M., Zipf, A., & Demir, B. (2023). Analyzing and improving the quality and fitness for purpose of OpenStreetMap as labels in remote sensing applications. Volunteered Geographic Information: Interpretation, Visualization and Social Context, 21–42. https://doi.org/10.1007/978-3-031-35374-1_2
Ludwig, C., Psotta, J., Buch, A., Kolaxidis, N., Fendrich, S., Zia, M., Fürle, J., Rousell, A., & Zipf, A. (2023). Traffic Speed Modelling to Improve Travel Time Estimation in Openrouteservice. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 109–116. https://doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-109-2023
Herfort, B., Lautenbach, S., de Albuquerque, J. P., Anderson, J., & Zipf, A. (2023). A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap. Nature Communications, 14(3985), 1–14. https://doi.org/10.1038/s41467-023-39698-6
Groß, S., Herfort, B., Marx, S., & Zipf, A. (2023). Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake. AGILE: GIScience Series, 5. https://doi.org/10.5194/agile-giss-4-5-2023
Hong, D., Zhang, B., Li, H., Li, Y., Yao, J., Li, C., Werner, M., Chanussot, J., Zipf, A., & Zhu, X. X. (2023). Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks. Remote Sensing of Environment, 299, 113856. https://doi.org/10.1016/j.rse.2023.113856
Ulrich, V., Brückner, J., Schultz, M., Vardag, S. N., Ludwig, C., Fürle, J., Zia, M., Lautenbach, S., & Zipf, A. (2023). Private Vehicles Greenhouse Gas Emission Estimation at Street Level for Berlin Based on Open Data. ISPRS International Journal of Geo-Information, 12(4), 138. https://doi.org/10.3390/ijgi12040138
Ulrich, V., Schultz, M., Lautenbach, S., & Zipf, A. (2023). Carbon fluxes related to land use and land cover change in Baden-Württemberg. Environmental Monitoring and Assessment, 195(5), 616. https://doi.org/10.1007/s10661-023-11141-9
Bayer, A. D., Lautenbach, S., & Arneth, A. (2023). Benefits and trade-offs of optimizing global land use for food, water, and carbon. Proceedings of the National Academy of Sciences of the United States of America, 120(42), e2220371120. https://doi.org/10.1073/pnas.2220371120
Knoblauch, S., Li, H., Lautenbach, S., Elshiaty, Y., Rocha, A. A. de A., Resch, B., Arifi, D., Jänisch, T., Morales, I., & Zipf, A. (2023). Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti. International Journal of Applied Earth Observation and Geoinformation, 119, 103304. https://doi.org/10.1016/j.jag.2023.103304
Benedyk, A., Moldavski, A., Reichert, M., Reinhard, I., Lohr, S., Schwarz, K., Berhe, O., Höflich, A., Lautenbach, S., von der Goltz, C., Ebner-Priemer, U., Zipf, A., Tost, H., & Meyer-Lindenberg, A. (2023). Initial response to the COVID-19 pandemic on real-life well-being, social contact and roaming behavior in patients with schizophrenia, major depression and healthy controls: A longitudinal ecological momentary assessment study. European Neuropsychopharmacology : The Journal of the European College of Neuropsychopharmacology, 69, 79–83. https://doi.org/10.1016/j.euroneuro.2023.01.008
Zia, M., Fürle, J., Ludwig, C., Lautenbach, S., Gumbrich, S., & Zipf, A. (2022). SocialMedia2Traffic: Derivation of Traffic Information from Social Media Data. ISPRS International Journal of Geo-Information, 482. https://doi.org/10.3390/ijgi11090482
Li, H., & Zipf, A. (2022). A conceptual model for converting OpenStreetMap contribution to geospatial machine learning training data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B4-2022, 253–259. https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-253-2022
Li, H., Zech, J., Hong, D., Ghamisi, P., Schultz, M., & Zipf, A. (2022). Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection. International Journal of Applied Earth Observation and Geoinformation, 110, 102804. https://doi.org/10.1016/j.jag.2022.102804
Li, H., Herfort, B., Lautenbach, S., Chen, J., & Zipf, A. (2022). Improving OpenStreetMap missing building detection using few–shot transfer learning in sub–Saharan Africa. Transactions in GIS, 26(8), 3125–3146. https://doi.org/10.1111/tgis.12941
Petricola, S., Reinmuth, M., Lautenbach, S., Hatfield, C., & Zipf, A. (2022). Assessing road criticality and loss of healthcare accessibility during floods: the case of Cyclone Idai, Mozambique 2019. International Journal of Health Geographics, 21(1), 14. https://doi.org/10.1186/s12942-022-00315-2
Diego Fabian Pajarito Grajales, Livia Castro Degrossi, Daniel Barros, Mohammed Rizwan Khan, Fernanda Lima E Silva, Maria Alexandra Cunha, et al. (2022). Enabling Participatory Flood Monitoring Through Cloud Services. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 213–223). Tarbes, France. https://idl.iscram.org/files/diegofabianpajaritograjales/2022/2411_DiegoFabianPajaritoGrajales_etal2022.pdf
Pisl, J., Li, H., Lautenbach, S., Herfort, B., & Zipf, A. (2021). Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks. AGILE GIScience Ser., 2, 39. https://doi.org/10.5194/agile-giss-2-39-2021
Hu, X., Fan, H., Noskov, A., Wang, Z., Zipf, A., Gu, F., & Shang, J. (2021). Room semantics inference using random forest and relational graph convolutional networks: A case study of research building. Transactions in GIS, 25(1), 71–111. https://doi.org/10.1111/tgis.12664
Klipper, I. G., Zipf, A., & Lautenbach, S. (2021). Flood Impact assessment on road network and healthcare access at the example of Jakarta, Indonesia. AGILE: GIScience Series, 4. https://doi.org/10.5194/agile-giss-2-4-2021
Brückner, J., Schott, M., Zipf, A., & Lautenbach, S. (2021). Assessing shop completeness in OpenStreetMap for two federal states in Germany. AGILE: GIScience Series, 20. https://doi.org/10.5194/agile-giss-2-20-2021

2025

Hatfield, C. R. S., Kustar, A., Reinmuth, M., Cap, C., Beshir, A. A., Klopp, J. M., Zipf, A., Rising, J., & Tun, T. H. (2025). Lessons in traffic: Nairobi’s school term congestion and equity challenges. African Transport Studies, 3, 100044. https://doi.org/10.1016/j.aftran.2025.100044
Schultz, M., Li, H., Wu, Z., Wiell, D., Auer, M., & Alexander, Z. (2025). OSMlanduse a dataset of European Union land use at 10 m resolution derived from OpenStreetMap and Sentinel-2. Scientific Data, 12(1), 750. https://doi.org/10.1038/s41597-025-04703-8
Tockner, L., Herfort ,Benjamin, Lautenbach ,Sven, & and Zipf, A. (2025). Corporate mapping in OpenStreetMap – shifting trends in global evolution and small-scale effects. Geo-Spatial Information Science, 1–20. https://doi.org/10.1080/10095020.2025.2493076
Randhawa, S., Aygün, E., Randhawa, G., Herfort, B., Lautenbach, S., & Zipf, A. (2025). Paved or unpaved? A deep learning derived road surface global dataset from mapillary street-view imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 223, 362–374. https://doi.org/10.1016/j.isprsjprs.2025.02.020
Knoblauch, S., Mukaratirwa, R. T., Pimenta, P. F. P., de A Rocha, A. A., Yin, M. S., Randhawa, S., Lautenbach, S., Wilder-Smith, A., Rocklöv, J., Brady, O. J., Biljecki, F., Dambach, P., Jänisch, T., Resch, B., Haddawy, P., Bärnighausen, T., & Zipf, A. (2025). Urban Aedes aegypti suitability indicators: a study in Rio de Janeiro, Brazil. The Lancet Planetary Health, 9(4), e264–e273. https://doi.org/10.1016/S2542-5196(25)00049-X
Knoblauch, S., Heidecke, J., de A. Rocha, A. A., Paolucci Pimenta, P. F., Reinmuth, M., Lautenbach, S., Brady, O. J., Jänisch, T., Resch, B., Biljecki, F., Rocklöv, J., Wilder-Smith, A., Bärnighausen, T., & Zipf, A. (2025). Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction. Scientific Reports, 15(1), 7994. https://doi.org/10.1038/s41598-025-91950-9
Hanny, D., Arifi, D., Knoblauch, S., Resch, B., Lautenbach, S., Zipf, A., & de Aragão Rocha, A. A. (2025). An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro. Computational Urban Science, 5(1), 13. https://doi.org/10.1007/s43762-025-00172-2
Fila, M., Štampach, R., & Herfort, B. (2025). AI-generated buildings in OpenStreetMap: frequency of use and differences from non-AI-generated buildings. International Journal of Digital Earth, 18(1), 2473637. https://doi.org/10.1080/17538947.2025.2473637
Knoblauch, S., Muthusamy, R. K., Moritz, M., Kang, Y., Li, H., Lautenbach, S., Pereira, R. H. M., Biljecki, F., Gonzalez, M. C., Barbosa, R., Hirata, D. V., Ludwig, C., Adamiak, M., de A. Rocha, A. A., & Zipf, A. (2025). Crime-associated inequality in geographical access to education: Insights from the municipality of Rio de Janeiro. Cities, 160, 105818. https://doi.org/10.1016/j.cities.2025.105818
Zhao, T., Heinrich, J., Brauer, M., Fulman, N., Idrose, N. S., Baumbach, C., Buters, J., Markevych, I., Ritz, B., Tham, R., Yang, B.-Y., Zeng, X.-W., Alashhab, S., Gui, Z.-H., Lin, L.-Z., Nowak, D., Sadeh, M., Singh, N., Dong, G.-H., & Fuertes, E. (2025). Urban greenspace under a changing climate: Benefit or harm for allergies and respiratory health? Environmental Epidemiology, 9(2). https://doi.org/10.1097/EE9.0000000000000372
Arifi, D., Resch, B., Santillana, M., Guan, W. W., Knoblauch, S., Lautenbach, S., Jaenisch, T., Morales, I., & Havas, C. (2025). Geosocial Media’s Early Warning Capabilities Across US County-Level Political Clusters: Observational Study. JMIR Infodemiology, 5, e58539. https://doi.org/10.2196/58539
Li, Y., Zhang, Y., Randhawa, S., Yang, C., & Zipf, A. (2025). STVAE: Skip connection driven Two-stream property fusion Variational AutoEncoder for cross-region wastewater treatment plant semantic segmentation. Information Fusion, 118, 102960. https://doi.org/10.1016/j.inffus.2025.102960
Nalin, A., Fulman, N., Wilke, E. C., Ludwig, C., Zipf, A., Lantieri, C., Vignali, V., & Simone, A. (2025). Evaluation of accessibility disparities in urban areas during disruptive events based on transit real data. Communications in Transportation Research, 5, 100160. https://doi.org/10.1016/j.commtr.2024.100160
Mayen Huerta, C., Ivanescu, C., Herfort, B., Badowski, P., & Gontariu, D. (2025). Leveraging geospatial data to evaluate women’s employment opportunities in the renewable energy sector. Energy Research & Social Science, 120, 103917. https://doi.org/10.1016/j.erss.2024.103917

2024

Knoblauch, S., Su Yin, M., Chatrinan, K., de Aragao Rocha, A. A., Haddawy, P., Biljecki, F., Lautenbach, S., Resch, B., Arifi, D., Jänisch, T., Morales, I., & Zipf, A. (2024). High‑resolution mapping of urban  Aedes aegypti immature abundance  through breeding site detection  based on satellite and street view  imagery. Scientific Records, 14(18777), 1–13. https://doi.org/10.1038/s41598-024-67914-w
Memduhoğlu, A., Fulman, N., & Zipf, A. (2024). Enriching building function classification using Large Language Model embeddings of OpenStreetMap Tags. Earth Science Informatics, 1–16. https://doi.org/10.1007/s12145-024-01463-8
Li, W., Arundel, S., Gao, S., Goodchild, M., Hu, Y., Wang, S., & Zipf, A. (2024). GeoAI for Science and the Science of GeoAI. Journal of Spatial Information Science, 1–17. https://doi.org/10.5311/JOSIS.2024.29.349
Knoblauch, S., Groß, S., Lautenbach, S., Augusto de Aragão Rocha, A., González, M. C., Resch, B., Arifi, D., Jänisch, T., Morales, I., & Zipf, A. (2024). Long-term validation of inner-urban mobility metrics derived from Twitter/X. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/23998083241278275
Fulman, N., Memduhoğlu, A., & Zipf, A. (2024). Distortions in Judged Spatial Relations in Large Language Models: The Dawn of Natural Language Geographic Data? https://doi.org/10.48550/arXiv.2401.04218
Foshag, K., Fürle, J., Ludwig, C., Fallmann, J., Lautenbach, S., Rupp, S., Burst, P., Betsch, M., Zipf, A., & Aeschbach, N. (2024). How to assess the needs of vulnerable population groups towards heat-sensitive routing? ERDKUNDE, 1–33. https://doi.org/10.3112/erdkunde.2024.01.01

2023

Martinez-Soto, A., Fürle, J., & Zipf, A. (2023). Urban Heat Island Intensity Prediction in the Context of Heat Waves: An Evaluation of Model Performance. Engineering Proceedings, 80. https://doi.org/10.3390/engproc2023039080
Schott, M., Zell, A., Lautenbach, S., Sumbul, G., Schultz, M., Zipf, A., & Demir, B. (2023). Analyzing and improving the quality and fitness for purpose of OpenStreetMap as labels in remote sensing applications. Volunteered Geographic Information: Interpretation, Visualization and Social Context, 21–42. https://doi.org/10.1007/978-3-031-35374-1_2
Ludwig, C., Psotta, J., Buch, A., Kolaxidis, N., Fendrich, S., Zia, M., Fürle, J., Rousell, A., & Zipf, A. (2023). Traffic Speed Modelling to Improve Travel Time Estimation in Openrouteservice. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 109–116. https://doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-109-2023
Herfort, B., Lautenbach, S., de Albuquerque, J. P., Anderson, J., & Zipf, A. (2023). A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap. Nature Communications, 14(3985), 1–14. https://doi.org/10.1038/s41467-023-39698-6
Groß, S., Herfort, B., Marx, S., & Zipf, A. (2023). Exploring MapSwipe as a Crowdsourcing Tool for (Rapid) Damage Assessment: The Case of the 2021 Haiti Earthquake. AGILE: GIScience Series, 5. https://doi.org/10.5194/agile-giss-4-5-2023
Ullah, T., Lautenbach, S., Herfort, B., Reinmuth, M., & Schorlemmer, D. (2023). Assessing Completeness of OpenStreetMap Building Footprints Using MapSwipe. ISPRS International Journal of Geo-Information, 12(4), 143. https://doi.org/10.3390/ijgi12040143
Hong, D., Zhang, B., Li, H., Li, Y., Yao, J., Li, C., Werner, M., Chanussot, J., Zipf, A., & Zhu, X. X. (2023). Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks. Remote Sensing of Environment, 299, 113856. https://doi.org/10.1016/j.rse.2023.113856
Ulrich, V., Brückner, J., Schultz, M., Vardag, S. N., Ludwig, C., Fürle, J., Zia, M., Lautenbach, S., & Zipf, A. (2023). Private Vehicles Greenhouse Gas Emission Estimation at Street Level for Berlin Based on Open Data. ISPRS International Journal of Geo-Information, 12(4), 138. https://doi.org/10.3390/ijgi12040138
Ulrich, V., Schultz, M., Lautenbach, S., & Zipf, A. (2023). Carbon fluxes related to land use and land cover change in Baden-Württemberg. Environmental Monitoring and Assessment, 195(5), 616. https://doi.org/10.1007/s10661-023-11141-9
Bayer, A. D., Lautenbach, S., & Arneth, A. (2023). Benefits and trade-offs of optimizing global land use for food, water, and carbon. Proceedings of the National Academy of Sciences of the United States of America, 120(42), e2220371120. https://doi.org/10.1073/pnas.2220371120
Porto de Albuquerque, J., Anderson, L., Calvillo, N., Cattino, M., Clarke, A., Cunha, M. A., Degrossi, L. C., Garde-Hansen, J., Klonner, C., Lima-Silva, F., Marchezini, V., Martins, M. H. da M., Pajarito Grajales, D., Pitidis, V., Rizwan, M., Tkacz, N., & Trajber, R. (2023). Dialogic data innovations for sustainability transformations and flood resilience: The case for waterproofing data. Global Environmental Change, 82, 102730. https://doi.org/10.1016/j.gloenvcha.2023.102730
Klinkhardt, C., Kühnel, F., Heilig, M., Lautenbach, S., Wörle, T., Vortisch, P., & Kuhnimhof, T. (2023). Quality Assessment of OpenStreetMap’s Points of Interest with Large-Scale Real Data. Transportation Research Record: Journal of the Transportation Research Board, 2677(12), 661–674. https://doi.org/10.1177/03611981231169280
Knoblauch, S., Li, H., Lautenbach, S., Elshiaty, Y., Rocha, A. A. de A., Resch, B., Arifi, D., Jänisch, T., Morales, I., & Zipf, A. (2023). Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti. International Journal of Applied Earth Observation and Geoinformation, 119, 103304. https://doi.org/10.1016/j.jag.2023.103304
Benedyk, A., Moldavski, A., Reichert, M., Reinhard, I., Lohr, S., Schwarz, K., Berhe, O., Höflich, A., Lautenbach, S., von der Goltz, C., Ebner-Priemer, U., Zipf, A., Tost, H., & Meyer-Lindenberg, A. (2023). Initial response to the COVID-19 pandemic on real-life well-being, social contact and roaming behavior in patients with schizophrenia, major depression and healthy controls: A longitudinal ecological momentary assessment study. European Neuropsychopharmacology : The Journal of the European College of Neuropsychopharmacology, 69, 79–83. https://doi.org/10.1016/j.euroneuro.2023.01.008

2022

Zia, M., Fürle, J., Ludwig, C., Lautenbach, S., Gumbrich, S., & Zipf, A. (2022). SocialMedia2Traffic: Derivation of Traffic Information from Social Media Data. ISPRS International Journal of Geo-Information, 482. https://doi.org/10.3390/ijgi11090482
Li, H., & Zipf, A. (2022). A conceptual model for converting OpenStreetMap contribution to geospatial machine learning training data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B4-2022, 253–259. https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-253-2022
Li, H., Zech, J., Hong, D., Ghamisi, P., Schultz, M., & Zipf, A. (2022). Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection. International Journal of Applied Earth Observation and Geoinformation, 110, 102804. https://doi.org/10.1016/j.jag.2022.102804
Li, H., Herfort, B., Lautenbach, S., Chen, J., & Zipf, A. (2022). Improving OpenStreetMap missing building detection using few–shot transfer learning in sub–Saharan Africa. Transactions in GIS, 26(8), 3125–3146. https://doi.org/10.1111/tgis.12941
Petricola, S., Reinmuth, M., Lautenbach, S., Hatfield, C., & Zipf, A. (2022). Assessing road criticality and loss of healthcare accessibility during floods: the case of Cyclone Idai, Mozambique 2019. International Journal of Health Geographics, 21(1), 14. https://doi.org/10.1186/s12942-022-00315-2

2021

Klipper, I. G., Zipf, A., & Lautenbach, S. (2021). Flood Impact assessment on road network and healthcare access at the example of Jakarta, Indonesia. AGILE: GIScience Series, 4. https://doi.org/10.5194/agile-giss-2-4-2021
Brückner, J., Schott, M., Zipf, A., & Lautenbach, S. (2021). Assessing shop completeness in OpenStreetMap for two federal states in Germany. AGILE: GIScience Series, 20. https://doi.org/10.5194/agile-giss-2-20-2021
Ludwig, C., Fendrich, S., & Zipf, A. (2021). Regional variations of context‐based association rules in OpenStreetMap. Transactions in GIS, 25(2), 602–621. https://doi.org/10.1111/tgis.12694
Herfort, B., Lautenbach, S., Porto de Albuquerque, J., Anderson, J., & Zipf, A. (2021). The evolution of humanitarian mapping within the OpenStreetMap community. Scientific Reports, 11(1), 3037. https://doi.org/10.1038/s41598-021-82404-z
Schott, M., Grinberger, A. Y., Lautenbach, S., & Zipf, A. (2021). The Impact of Community Happenings in OpenStreetMap—Establishing a Framework for Online Community Member Activity Analyses. ISPRS International Journal of Geo-Information, 10(3), 164. https://doi.org/10.3390/ijgi10030164
Hu, X., Noskov, A., Fan, H., Novack, T., Li, H., Gu, F., Shang, J., & Zipf, A. (2021). Tagging the main entrances of public buildings based on OpenStreetMap and binary imbalanced learning. International Journal of Geographical Information Science, 35(9), 1773–1801. https://doi.org/10.1080/13658816.2020.1861282
Ludwig, C., Hecht, R., Lautenbach, S., Schorcht, M., & Zipf, A. (2021). Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions. ISPRS International Journal of Geo-Information, 10(4), 251. https://doi.org/10.3390/ijgi10040251
Fritz, O., Auer, M., & Zipf, A. (2021). Entwicklung eines Regressionsmodells für die Vollständigkeitsanalyse des globalen OpenStreetMap- Datenbestands an Nahverkehrs-Busstrecken. AGIT ‒ Journal Für Angewandte Geoinformatik, 7, 239–248. https://doi.org/10.14627/537707025
Li, H., Zech, J., Ludwig, C., Fendrich, S., Shapiro, A., Schultz, M., & Zipf, A. (2021). Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning. International Journal of Applied Earth Observation and Geoinformation, 104, 102571. https://doi.org/10.1016/j.jag.2021.102571
Witt, R., Loos, L., & Zipf, A. (2021). Analysing the Impact of Large Data Imports in OpenStreetMap. ISPRS International Journal of Geo-Information, 10(8), 528. https://doi.org/10.3390/ijgi10080528
Grinberger, A. Y., Schott, M., Raifer, M., & Zipf, A. (2021). An analysis of the spatial and temporal distribution of large–scale data production events in OpenStreetMap. Transactions in GIS, 25(2), 622–641. https://doi.org/10.1111/tgis.12746
Klonner, C., Hartmann, M., Dischl, R., Djami, L., Anderson, L., Raifer, M., Lima-Silva, F., Castro Degrossi, L., Zipf, A., & Porto de Albuquerque, J. (2021). The Sketch Map Tool Facilitates the Assessment of OpenStreetMap Data for Participatory Mapping. ISPRS International Journal of Geo-Information, 10(3), 130. https://doi.org/10.3390/ijgi10030130
Hu, X., Fan, H., Noskov, A., Wang, Z., Zipf, A., Gu, F., & Shang, J. (2021). Room semantics inference using random forest and relational graph convolutional networks: A case study of research building. Transactions in GIS, 25(1), 71–111. https://doi.org/10.1111/tgis.12664
Pisl, J., Li, H., Lautenbach, S., Herfort, B., & Zipf, A. (2021). Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks. AGILE GIScience Ser., 2, 39. https://doi.org/10.5194/agile-giss-2-39-2021
Yeboah, G., Porto de Albuquerque, J., Troilo, R., Tregonning, G., Perera, S., Ahmed, S. A. K. S., Ajisola, M., Alam, O., Aujla, N., Azam, S. I., Azeem, K., Bakibinga, P., Chen, Y.-F., Choudhury, N. N., Diggle, P. J., Fayehun, O., Gill, P., Griffiths, F., Harris, B., … Yusuf, R. (2021). Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia. ISPRS International Journal of Geo-Information, 10(4). https://doi.org/10.3390/ijgi10040265

2020

Wang, Z., Novack, T., Yan, Y., & Zipf, A. (2020). Quiet route planning for pedestrians in traffic noise polluted environments. IEEE Transactions on Intelligent Transportation Systems, 7573–7584. https://doi.org/10.13140/RG.2.2.31493.37600/1
Yan, Y., Feng, C.-C., Huang, W., Fan, H., Wang, Y.-C., & Zipf, A. (2020). Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience. International Journal of Geographical Information Science, 34(9), 1765–1791. https://doi.org/10.1080/13658816.2020.1730848
Reichert, M., Braun, U., Lautenbach, S., Zipf, A., Ebner-Priemer, U., Tost, H., & Meyer-Lindenberg, A. (2020). Studying the impact of built environments on human mental health in everyday life: methodological developments, state-of-the-art and technological frontiers. Current Opinion in Psychology, 32, 158–164. https://doi.org/10.1016/j.copsyc.2019.08.026
Hu, X., Ding, L., Shang, J., Fan, H., Novack, T., Noskov, A., & Zipf, A. (2020). Data-driven approach to learning salience models of indoor landmarks by using genetic programming. International Journal of Digital Earth, 13(11), 1230–1257. https://doi.org/10.1080/17538947.2019.1701109
Li, H., Ghamisi, P., Rasti, B., Wu, Z., Shapiro, A., Schultz, M., & Zipf, A. (2020). A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks. Remote Sensing, 12(12), 2067. https://doi.org/10.3390/rs12122067
Geldsetzer, P., Reinmuth, M., Ouma, P. O., Lautenbach, S., Okiro, E. A., Bärnighausen, T., & Zipf, A. (2020). Mapping physical access to health care for older adults in sub-Saharan Africa and implications for the COVID-19 response: a cross-sectional analysis. The Lancet. Healthy Longevity, 1(1), e32–e42. https://doi.org/10.1016/S2666-7568(20)30010-6
Ries, M., Mechler, K., Smith, D. L., Herfort, B., Visintini, J., Santana, A. V., Zipf, A., & Lautenbach, S. (2020). Intuitive Global Insight Into COVID-19 Clinical Research Activities-The \textquotedblCOVID-19 Map of Hope\textquotedbl. The Journal of Clinical Pharmacology, 60(7), 826–827. https://doi.org/10.1002/jcph.1643
Li, H., Herfort, B., Huang, W., Zia, M., & 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, 166, 41–51. https://doi.org/10.1016/j.isprsjprs.2020.05.007
Juhász, L., Novack, T., Hochmair, H. H., & Qiao, S. (2020). Cartographic Vandalism in the Era of Location-Based Games—The Case of OpenStreetMap and Pokémon GO. ISPRS International Journal of Geo-Information, 9(4). https://doi.org/10.3390/ijgi9040197
Novack, T., Vorbeck, L., Lorei, H., & Zipf, A. (2020). Towards Detecting Building Facades with Graffiti Artwork Based on Street View Images. ISPRS International Journal of Geo-Information, 9(2). https://doi.org/10.3390/ijgi9020098
Schwaab, J., Lautenbach, S., Braun-Dubler, N., Gmünder, M., Grêt-Regamey, A., & Van Strien, M. J. (2020). The difficulty of steering settlement development to reduce the loss of ecosystem services: an exploration of different development scenarios in Switzerland using spatially explicit land-use models. Journal of Environmental Planning and Management, 63(6), 1037–1055. https://doi.org/10.1080/09640568.2019.1631762

2019

Lorei, H., Westerholt, R., & Zipf, A. (2019). Characterizing player types in gamified geodata acquisition–An exploratory analysis of StreetComplete. Proceedings of the Academic Track at State of the Map, 33–40. https://doi.org/10.5281/zenodo.3387723
Yair Grinberger, A., Schott, M., Raifer, M., Troilo, R., & Zipf, A. (2019). Analyzing the spatio-temporal patterns and impacts of large-scale data production events in OpenStreetMap. Editors, 9. https://doi.org/10.5281/zenodo.3387671
Yeboah, G., Troilo, R., Pitidis, V., & de Albuquerque, J. P. (2019). Analysis of OpenStreetMap data quality at different stages of a participatory mapping process: Evidence from informal urban settings. Editors, 7. https://doi.org/10.3390/ijgi10040265
Yair Grinberger, A., Schott, M., Raifer, M., Troilo, R., & Zipf, A. (2019). The institutional contexts of volunteered geographic information production: a quantitative exploration of OpenStreetMap data. https://doi.org/10.11588/heidok.00027410
Noskov, A., Yair Grinberger, A., Papapesios, N., Rousell, A., Troilo, R., & Zipf, A. (2019). Modelling and Assessing Spatial Big Data: Use Cases of the OpenStreetMap Full-History Dump. Spatial Planning in the Big Data Revolution, 16–44. https://doi.org/10.4018/978-1-5225-7927-4.ch002
Klonner, C., Hartmann, M., Djami, L., & Zipf, A. (2019). “Ohsome” OpenStreetMap Data Evaluation: Fitness of Field Papers for Participatory Mapping. https://doi.org/10.5281/zenodo.3387725
Ludwig, C., & Zipf, A. (2019). Exploring regional differences in the representation of urban green spaces in OpenStreetMap. https://doi.org/10.11588/heidok.00027408
Ludwig, C., Hecht, R., Lautenbach, S., Schorcht, M., & Zipf, A. (2019). Assessing the Completeness of Urban Green Spaces in OpenStreetMap. Editors, 21. https://doi.org/10.5281/zenodo.3387701
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, 4(1). https://doi.org/10.1186/s40965-019-0061-3
Herfort, B., Li, H., Fendrich, S., Lautenbach, S., & Zipf, A. (2019). Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning. Remote Sensing, 11(15), 1799. https://doi.org/10.3390/rs11151799
Yan, Y., Schultz, M., & Zipf, A. (2019). An exploratory analysis of usability of Flickr tags for land use/land cover attribution. Geo-Spatial Information Science, 22(1), 12–22. https://doi.org/10.1080/10095020.2018.1560044
Tost, H., Reichert, M., Braun, U., Reinhard, I., Peters, R., Lautenbach, S., Hoell, A., Schwarz, E., Ebner-Priemer, U., Zipf, A., & Meyer-Lindenberg, A. (2019). Neural correlates of individual differences in affective benefit of real-life urban green space exposure. Nature Neuroscience, 22(9), 1389–1393. https://doi.org/10.1038/s41593-019-0451-y
Georgy, S., Lautenbach, S., Jahn, H. J., Katzschner, L., & Krämer, A. (2019). Erfassung von hitze- und feinstaubbedingten Gesundheitsrisiken in Deutschland: Ein epidemiologischer Studienansatz. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 62(6), 782–791. https://doi.org/10.1007/s00103-019-02960-8
Juhász, L., Hochmair, H. H., Qiao, S., & Novack, T. (2019). Exploring the effects of Pokémon Go vandalism on OpenStreetMap.
Mocnik, F.-B., Ludwig, C., Grinberger, A. Y., Jacobs, C., Klonner, C., & Raifer, M. (2019). Shared Data Sources in the Geographical Domain—A Classification Schema and Corresponding Visualization Techniques. ISPRS International Journal of Geo-Information, 8(5). https://doi.org/10.3390/ijgi8050242
Strauch, M., Cord, A. F., Pätzold, C., Lautenbach, S., Kaim, A., Schweitzer, C., Seppelt, R., & Volk, M. (2019). Constraints in multi-objective optimization of land use allocation – Repair or penalize? Environmental Modelling & Software, 118, 241–251. https://doi.org/10.1016/j.envsoft.2019.05.003
Zia, M., Cakir, Z., & Seker, D. Z. (2019). Turkey OpenStreetMap Dataset - Spatial Analysis of Development and Growth Proxies. 11(1), 140–151. https://doi.org/10.1515/geo-2019-0012
Eckle, M., Lautenbach, S., & Zipf, A. (2019). Towards Bridging the Gap between Demand and Supply in Humanitarian Geodata Use. ISCRAM 2019. Proceedings. https://iscram2019.webs.upv.es/wp-content/uploads/2019/09/ISCRAM2019_Proceedings.pdf

2018

Scholz, S., Knight, P., Eckle, M., Marx, S., & Zipf, A. (2018). Volunteered Geographic Information for Disaster Risk Reduction—The Missing Maps Approach and Its Potential within the Red Cross and Red Crescent Movement. Remote Sensing, 10(8), 1239. https://doi.org/10.3390/rs10081239
Hahmann, S., Miksch, J., Resch, B., Lauer, J., & Zipf, A. (2018). Routing through open spaces – A performance comparison of algorithms. Geo-Spatial Information Science, 21(3), 247–256. https://doi.org/10.1080/10095020.2017.1399675
Mobasheri, A., Huang, H., Degrossi, L. C., & Zipf, A. (2018). Enrichment of OpenStreetMap Data Completeness with Sidewalk Geometries Using Data Mining Techniques. Sensors (Basel, Switzerland), 18(2). https://doi.org/10.3390/s18020509
Novack, T., Wang, Z., & Zipf, A. (2018). A System for Generating Customized Pleasant Pedestrian Routes Based on OpenStreetMap Data. Sensors (Basel, Switzerland), 18(11). https://doi.org/10.3390/s18113794
Klonner, C., Usón, T. J., Marx, S., Mocnik, F.-B., & Höfle, B. (2018). Capturing Flood Risk Perception via Sketch Maps. ISPRS International Journal of Geo-Information, 7(9). https://doi.org/10.3390/ijgi7090359
Herfort, B., Höfle, B., & Klonner, C. (2018). 3D micro-mapping: Towards assessing the quality of crowdsourcing to support 3D point cloud analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 137, 73–83. https://doi.org/10.1016/j.isprsjprs.2018.01.009
Herfort, B., & Zipf, A. (2018). Enhancing crowdsourced classification on human settlements utilizing logistic regression aggregation and intrinsic context factors. Geospatial Technologies for All: Short Papers, Posters and Poster Abstracts of the 21th AGILE Conference on Geographic Information Science, Ed. A. Mansourian, P. Pilesjö, L. Harrie, and R. von Lammeren. Lund University, Lund, Sweden, June, 12–15. https://www.cs.nuim.ie/~pmooney/vgi-alive2018/papers/1.4.pdf
Chen, J., Zhou, Y., Zipf, A., & Fan, H. (2018). Deep learning from multiple crowds: A case study of humanitarian mapping. IEEE Transactions on Geoscience and Remote Sensing, 1713–1722. https://ieeexplore.ieee.org/abstract/document/8480860
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. https://www.researchgate.net/profile/Melanie-Eckle-Elze/publication/325397280_Towards_Using_the_Potential_of_OpenStreetMap_History_for_Disaster_Activation_Monitoring/links/5d5ea513299bf1b97cfe05b6/Towards-Using-the-Potential-of-OpenStreetMap-History-for-Disaster-Activation-Monitoring.pdf
Noskov, A., & Zipf, A. (2018). Open-data-driven embeddable quality management services for map-based web applications. Big Earth Data, 2(4), 395–422. https://doi.org/10.1080/20964471.2019.1592077
Yan, Y., Kuo, C.-L., Feng, C.-C., Huang, W., Fan, H., & Zipf, A. (2018). Coupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists. International Journal of Geographical Information Science, 32(9), 1699–1736. https://doi.org/10.1080/13658816.2018.1458989

2017

Griesbaum, L., Eckle, M., Herfort, B., Raifer, M., & Zipf, A. (2017). Partizipative Methoden zur Erfassung und Verarbeitung von Geoinformationen. 563–574. https://dl.gi.de/items/620aef47-fd82-4905-9799-89429bf73809
John, S., Hahmann, S., Rousell, A., Löwner, M.-O., & Zipf, A. (2017). Deriving incline values for street networks from voluntarily collected GPS traces. Cartography and Geographic Information Science, 44(2), 152–169. https://doi.org/10.1080/15230406.2016.1190300
Yan, Y., Eckle, M., Kuo, C.-L., Herfort, B., Fan, H., & Zipf, A. (2017). Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data. ISPRS International Journal of Geo-Information, 6(5), 144. https://doi.org/10.3390/ijgi6050144
Rousell, A., & Zipf, A. (2017). Towards a Landmark-Based Pedestrian Navigation Service Using OSM Data. ISPRS International Journal of Geo-Information, 6(3), 64. https://doi.org/10.3390/ijgi6030064

2016

Marx, S., Hämmerle, M., Klonner, C., & Höfle, B. (2016). 3D Participatory sensing with low-cost mobile devices for crop height assessment–a comparison with terrestrial laser scanning data. PloS One, 11(4), e0152839.
Eckle, M., Albuquerque, J. P. de, Herfort, B., Wolff, R., Zipf, A., Leiner, R., & Jacobs, C. (2016). Leveraging OpenStreetMap to support flood risk management in municipalities: A prototype decision support system.
Klonner, C., Marx, S., Usón, T., Porto de Albuquerque, J., & Höfle, B. (2016). Volunteered Geographic Information in Natural Hazard Analysis: A Systematic Literature Review of Current Approaches with a Focus on Preparedness and Mitigation. ISPRS International Journal of Geo-Information, 5(7). https://doi.org/10.3390/ijgi5070103
Usón, T. J., Klonner, C., & Höfle, B. (2016). Using participatory geographic approaches for urban flood risk in Santiago de Chile: Insights from a governance analysis. Environmental Science & Policy, 66, 62–72. https://doi.org/10.1016/j.envsci.2016.08.002

2022

Diego Fabian Pajarito Grajales, Livia Castro Degrossi, Daniel Barros, Mohammed Rizwan Khan, Fernanda Lima E Silva, Maria Alexandra Cunha, et al. (2022). Enabling Participatory Flood Monitoring Through Cloud Services. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 213–223). Tarbes, France. https://idl.iscram.org/files/diegofabianpajaritograjales/2022/2411_DiegoFabianPajaritoGrajales_etal2022.pdf

2017

Klonner, C., Eckle, M., Usón, T., & Höfle, B. (2017). Quality Improvement of Remotely Volunteered Geographic Information via Country-Specific Mapping Instructions. ISCRAM.
Degrossi, L. C., Albuquerque, J. P. de, Restrepo-Estrada, C., Mobasheri, A., & Zipf, A. (2017). Exploring the geographical context for quality assessment of VGI in flood management domain. Proceedings of the Americas Conference on Information Systems (AMCIS 2017), 1–10.

2016

Degrossi, L. C., de Albuquerque, J. P., Fan, H., & Zipf, A. (2016). A conceptual model for quality assessment of VGI for the purpose of flood management. Proceedings.
Anhorn, J., Herfort, B., & Albuquerque, J. P. de. (2016). Crowdsourced validation and updating of dynamic features in OpenStreetMap an analysis of shelter mapping after the 2015 Nepal earthquake. Proceedings of the ISCRAM 2016 Conference–Rio de Janeiro, Brazil, May 2016.

2015

Eckle, M., & de Albuquerque, J. P. (2015). Quality Assessment of Remote Mapping in OpenStreetMap for Disaster Management Purposes. ISCRAM.

2024

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