Geoinformation
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filed under:
Jahr_2018,
Publikationen_Geoinfo
- Dehbi, Y, Gojayeva, N, Pickert, A, Haunert, J, and Plümer, L (2018).
Room Shapes and Functional Uses Predicted from Sparse Data
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-4:33–40.
https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.13
- Niedermann, B, Oehrlein, J, Lautenbach, S, and Haunert, J (2018).
A Network Flow Model for the Analysis of Green Spaces in Urban Areas
In: 10th International Conference on Geographic Information Science (GIScience 2018), vol. 114, pp. 13:1–13:16. Leibniz International Proceedings in Informatics (LIPIcs).
https://doi.org/10.4230/LIPIcs.GISCIENCE.2018.13
- Niedermann, B and Haunert, J (2018).
An Algorithmic Framework for Labeling Network Maps
Algorithmica, 80(5):1493--1533
https://doi.org/10.1007/s00453-017-0350-0
- Benjamin Niedermann, Ignaz Rutter, and Matthias Wolf (2018).
Efficient algorithms for ortho-radial graph drawing
Proceedings of the 34rd European Workshop on Computational Geometry (EuroCG'18). 2018. Preprint.
https://i11www.iti.kit.edu/extra/publications/nrw-eaorg-preprint-18
- Oehrlein, J, Förster, A, Schunck, D, Dehbi, Y, Roscher, R, and Haunert, J (2018).
Inferring Routing Preferences of Bicyclists from Sparse Sets of Trajectories
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-4/W7:107–114.
https://doi.org/10.5194/isprs-annals-IV-4-W7-107-2018
