Geoinformationen für Humanitäre Hilfe – Publikationen


Klonner, C., Usón, T.J., Aeschbach, N. & Höfle B. 2021. „Participatory Mapping and Visualization of Local Knowledge: An Example from Eberbach, Germany.“ International Journal of Disaster Risk Science, 12(1), pp. 56-71..


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.
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 “COVID‐19 Map of Hope”.“ The Journal of Clinical Pharmacology.
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.
Geldsetzer, P.; Reinmuth, M.; O Ouma, P.; Lautenbach, S.; A Okiro, E.; 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.
Klonner, C., Usón, T.J., Aeschbach, N. & Höfle B.. 2020. „Participatory Mapping and Visualization of Local Knowledge: An Example from Eberbach, Germany.“ International Journal of Disaster Risk Science.


Eckle, M., Lautenbach, S. & Zipf, A. 2019. „Towards bridging the gap between demand and supply in humanitarian geodata use“. In: FRANCO, Z., GONZÁLEZ, J. J. & CANÓS, J. H. (Hrsg.): Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management (ISCRAM) S. 1381–1382. 19.-22.05.2019. Valencia, Spanien.
Georgy, Sascha, Sven Lautenbach, Heiko J. Jahn, Lutz Katzschner, and Alexander Krämer. 2019. „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.
YHerfort, Benjamin, Hao Li, Sascha Fendrich, Sven Lautenbach, and Alexander Zipf. 2019. „Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning.“ Remote Sensing 11 (15): 1799.
Klonner, Carolin, Maximilian Hartmann, Lily Djami, and Alexander Zipf. 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.), 35-36. State of the Map, 21.-23.09.2019. Heidelberg .
Li, Hao, Benjamin Herfort, and Alexander Zipf. 2019. „Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks.“ Proceedings of the 22nd AGILE Conference on Geographic Information Science5.
Heike Tost, Markus Reichert, Urs Braun, Iris Reinhard, Robin Peters, Sven Lautenbach, Andreas Hoell, Emanuel Schwarz, Ulrich Ebner-Priemer, Alexander Zipf and Andreas Meyer-Lindenberg . 2019. „Neural correlates of individual differences in affective benefit of real-life urban green space exposure.“ Nature Neuroscience 22 (9): 1389–93.
Yan, Yingwei, Michael Schultz, and Alexander Zipf. 2019. „An exploratory analysis of usability of Flickr tags for land use/land cover attribution.“ Geo-Spatial Information Science 22 (1): 12–22.


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