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Landmark weights - an alternative to spatial distances in shortest route algorithms.

E. Nuhn, и S. Timpf. Spatial Cogn. Comput., 23 (3): 206-232 (июля 2023)

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How to Model (Personalised) Landmarks?E. Nuhn, и S. Timpf. Spatial Cognition, том 12162 из Lecture Notes in Computer Science, стр. 33-49. Springer, (2020)EGIFF – Developing Advanced GI Methods for Early Warning in Mass Movement ScenariosM. Breunig, B. Schilberg, P. Kuper, M. Jahn, W. Reinhardt, E. Nuhn, S. Mäs, C. Boley, F. Trauner, J. Wiesel и 5 other автор(ы). GEOTECHNOLOGIEN "Science Report", (2009)An Overall Framework for Personalised Landmark Selection.E. Nuhn, и S. Timpf. LBS, стр. 231-253. Springer, (2018)A multidimensional model for selecting personalised landmarks.E. Nuhn, и S. Timpf. J. Locat. Based Serv., 11 (3-4): 153-180 (2017)Modelling of personalised landmarksE. Nuhn. University of Augsburg, Germany, (2020)base-search.net (ftunivaugsburg:oai:uni-augsburg.opus-bayern.de:69864).Towards Personalized Landmarks.E. Nuhn, и S. Timpf. COSIT (Workshops/Posters), стр. 101-103. Springer, (2017)Personal Dimensions of Landmarks.E. Nuhn, и S. Timpf. AGILE Conf., стр. 129-143. (2017)Is Salience Robust? A Heterogeneity Analysis of Survey Ratings.M. Kattenbeck, E. Nuhn, и S. Timpf. GIScience, том 114 из LIPIcs, стр. 7:1-7:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Landmark weights - an alternative to spatial distances in shortest route algorithms.E. Nuhn, и S. Timpf. Spatial Cogn. Comput., 23 (3): 206-232 (июля 2023)