- Fokusthemen: Geolinguistik, Maschinelle Sprachverarbeitung und Maschinelles Lernen
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Publikationen
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Experiences in developing landform ontologies In R. S. Purves, S. Gruber, R. K. Straumann, & T. Hengl (Eds.), Geomorphometry 2009 Conference Proceedings (pp. 17–21). Department of Geography, University of Zurich. http://www.geomorphometry.org/straumann2009geomorphometry
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Geomorphometry 2009 Conference Proceedings Department of Geography, University of Zurich. http://www.geomorphometry.org/content/geomorphometry-2009-conference-proceedings
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Proceedings of the Second International Workshop on Location and the Web (LocWeb 2009) (2009). In E. Wilde, S. Boll, K. Cheverst, P. Fröhlich, R. S. Purves, & J. Schöning (Eds.), Proceedings of the Second International Workshop on Location and the Web (LocWeb 2009) (Vol. 370, pp. 13–16). Association for Computing Machinery. http://portal.acm.org/toc.cfm?id=1507136&type=proceeding&coll=GUIDE&dl=GUIDE&CFID=67902333&CFTOKEN=55583138
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The influence of elevation uncertainty on derivation of topographic indices Geomorphology, 111, 4–16. https://doi.org/10.1016/j.geomorph.2007.06.026
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Geographic information retrieval In L. Liu & M. T. Özsu (Eds.), Encyclopedia of database systems ; Part 7 (pp. 1227–1231). Springer. https://doi.org/10.1007/978-0-387-39940-9_177
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Modelling spatial distribution of soil types and characteristics in a high Alpine valley (Val di Sole, Italy) Studi Trentini Di Scienze Naturali, 85, 39–50. http://www2.muse.it/pubblicazioni/18/85/4.pdf
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Venice, city of canals: characterizing regions through content classification Transactions in GIS, 13, 295–314. https://doi.org/10.1111/j.1467-9671.2009.01165.x
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Identification of practically visible spatial objects in natural environments In M. Sester, L. Bernard, & V. Paelke (Eds.), Advances in GIScience (pp. 1–23). Springer (Bücher). https://doi.org/10.1007/978-3-642-00318-9_1
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The impact of parametric uncertainty and topographic error in ice-sheet modelling Journal of Glaciology, 54, 889–919. https://doi.org/10.3189/002214308787779852
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Exploring uncertainty in glacier mass balance modelling with Monte Carlo simulation The Cryosphere, 2, 191–204. https://doi.org/10.5194/tc-2-191-2008
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Analysing and aggregating visitor tracks in a protected area In A. Stein & et al (Eds.), Quality Aspects in Spatial Data Mining (pp. 1–29). CRC Press. http://www.crcpress.co.uk/shopping_cart/products/product_detail.asp?sku=69268&isbn=9781420069266&parent_id=502&pc=
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Mapping geographic coverage of the web 1–9. https://doi.org/10.1145/1463434.1463459
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Spatial autocorrelation and toponym ambiguity (R. S. Purves, Ed.; pp. 25–26). https://doi.org/10.1145/1460007.1460013
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A caption annotation scheme for georeferencing images (R. S. Purves, Ed.; pp. 45–46). https://doi.org/10.1145/1460007.1460026
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Variable-resolution Compression of Vector Data GeoInformatica, 12, 357–376. https://doi.org/10.1007/s10707-007-0036-x
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Characterizing regions through content classification. GIScience 2008 - Fifth International Conference on Geographic Information Science, Park City. https://doi.org/10.1111/j.1467-9671.2009.01165.x
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The influence of resolution and topographic uncertainty on melt modelling using hypsometric sub-grid parameterization Hydrological Processes, 22, 3965–3979. https://doi.org/10.1002/hyp.7034
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Modeling climate-change impacts on mountain glaciers and water resources in the Central Dry Andes In B. Orlove & et al (Eds.), Darkening Peaks: Glacier Retreat, Science, and Society (pp. 126–135). University of California Press. http://www.ucpress.edu/books/pages/10596.php
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Applying machine learning methods to avalanche forecasting Annals of Glaciology, 49, 107–113. https://doi.org/10.3189/172756408787814870