Publications (GIScience)

Conference Papers

2018
  • Mocnik, F.-B. (2018): Tradition as a Spatiotemporal Process – the Case of Swedish Folk Music. Proceedings of the 21st AGILE Conference on Geographic Information Science 2018, Lund, Sweden.
  • Mocnik, F.-B., Raifer, M. (2018): The Effect of Tectonic Plate Motion on OpenStreetMap Data. Proceedings of the 21st AGILE Conference on Geographic Information Science 2018, Lund, Sweden.
  • Crommelinck, S., Höfle, B., Koeva, M.N., Yang, M.Y. & Vosselman, G. (2018): Interactive Cadastral Boundary Delineation from UAV Data. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2, pp. 81-88.
  • Rutzinger, M., Bremer, M., Höfle, B., Hämmerle, M., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Scaioni, M., Wujanz, D. & Zieher, T. (2018): Training in Innovative Technologies for Close-Range Sensing in Alpine Terrain. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2, pp. 239-246.
  • 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.
  • Westerholt, R. (2018): The impact of the spatial superimposition of point based statistical configurations on assessing spatial autocorrelation. Proceedings of the 21st AGILE Conference on Geographic Information Science, Lund, Sweden.
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until 1999
  • Zipf, A. & Malaka, R. (1999): Web-basierte Planung und animierte Visualisierung von 3D Besichtigungstouren im Rahmen des Touristeninformationssystems Deep Map. (AGIT Spezial: GIS in Verkehr und Transport. Salzburg. 04.-06.06.1999). In: Zagel, B. (Hrsg.): GIS in Verkehr und Transport. Hüthig Verlag. Heidelberg.
  • Chandrasekhara, V., Malaka, R., Teichert, J., Porzel, R. & Zipf, A.(1999): Deep Map – A mobile tourist information system. Int. Conf. on Wearable Computing, ICWC ´99, Stuttgart, Germany.
  • Zipf, A. (1999): Guiding tourists through space and time within an agent based framework – Deep Map. European ESRI User Conference, München.
  • Zipf, A. (1998): DEEP MAP – A prototype context sensitive tourism information system for the city of Heidelberg. Proc. of GIS-Planet 98. Lisboa, Portugal.
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Latest Revision: 2018-06-15
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