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Sven Gedicke, Shiyaza Risvi, and Jan-Henrik Haunert. Report on the FAIRagro Workshop on Data Quality for Data Analytics in Agrosystem Science (DQ4DA). Technical Report, University of Bonn, 2024.
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| @techreport{gedicke2024dq4da,
author = {Gedicke, Sven and Risvi, Shiyaza and Haunert, Jan-Henrik},
doi = {10.5281/zenodo.10697161},
institution = {University of Bonn},
title = {{R}eport on the {FAIR}agro {W}orkshop on {D}ata {Q}uality for {D}ata {A}nalytics in {A}grosystem {S}cience ({DQ4DA})},
year = {2024}
}
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Julius Knechtel, Weilian Li, Yannick Orgeig, Jan-Henrik Haunert, and Youness Dehbi. Immersive Virtual Reality to Verify the As-built State of Electric Line Networks in Buildings. In Thomas H. Kolbe, Andreas Donaubauer, and Christof Beil, editors. Recent Advances in 3D Geoinformation Science, pages 129-143. Springer Nature Switzerland, 2024.
abstract
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| Immersive virtual reality (IVR) allows viewing abstract concepts and entities in a three dimensional (3D) visuospatial environment. In this paper, we innovatively introduced IVR technology into the verification of the as-built state of electric line networks in buildings. On the one hand, using a reasoning-based estimation of electric networks as a starting point, we demonstrated the usability of IVR technology for verifying installed utilities in buildings. On the other hand, we established the communication between the Reasoner and the practitioner and also simulated the verification action of electric line networks in buildings in the real world. The principal findings of this work pave the way for a subsequent and systematic evaluation of the different reasoning strategies for estimating and generating the as-built state of building utilities. @inproceedings{knechtel2024immersiveVRElectricNetworks,
abstract = {Immersive virtual reality (IVR) allows viewing abstract concepts and entities in a three dimensional (3D) visuospatial environment. In this paper, we innovatively introduced IVR technology into the verification of the as-built state of electric line networks in buildings. On the one hand, using a reasoning-based estimation of electric networks as a starting point, we demonstrated the usability of IVR technology for verifying installed utilities in buildings. On the other hand, we established the communication between the Reasoner and the practitioner and also simulated the verification action of electric line networks in buildings in the real world. The principal findings of this work pave the way for a subsequent and systematic evaluation of the different reasoning strategies for estimating and generating the as-built state of building utilities.},
address = {Cham},
author = {Knechtel, Julius and Li, Weilian and Orgeig, Yannick and Haunert, Jan-Henrik and Dehbi, Youness},
booktitle = {Recent Advances in 3D Geoinformation Science},
doi = {10.1007/978-3-031-43699-4\_8},
editor = {Kolbe, Thomas H. and Donaubauer, Andreas and Beil, Christof},
isbn = {978-3-031-43699-4},
pages = {129--143},
publisher = {Springer Nature Switzerland},
title = {{I}mmersive {V}irtual {R}eality to {V}erify the {A}s-built {S}tate of {E}lectric {L}ine {N}etworks in {B}uildings},
year = {2024}
}
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Axel Forsch, Stefan Funke, Jan-Henrik Haunert, and Sabine Storandt. Efficient mining of volunteered trajectory datasets. In Dirk Burghardt, Elena Demidova, and Daniel A. Keim, editors. Volunteered Geographic Information: Interpretation, Visualization and Social Context, pages 43-77. Springer Nature Switzerland, 2024.
abstract
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| With the ubiquity of mobile devices that are capable of tracking positions (be it via GPS or Wi-Fi/mobile network localization), there is a continuous stream of location data being generated every second. These location measurements are typically not considered individually but rather as sequences, each of which reflects the movement of one person or vehicle, which we call trajectory. This chapter presents new algorithmic approaches to process and visualize trajectories both in the network-constrained and the unconstrained case. @incollection{forsch2024volunteered,
abstract = {With the ubiquity of mobile devices that are capable of tracking positions (be it via GPS or Wi-Fi/mobile network localization), there is a continuous stream of location data being generated every second. These location measurements are typically not considered individually but rather as sequences, each of which reflects the movement of one person or vehicle, which we call trajectory. This chapter presents new algorithmic approaches to process and visualize trajectories both in the network-constrained and the unconstrained case.},
address = {Cham},
author = {Forsch, Axel and Funke, Stefan and Haunert, Jan-Henrik and Storandt, Sabine},
booktitle = {Volunteered Geographic Information: Interpretation, Visualization and Social Context},
doi = {10.1007/978-3-031-35374-1_3},
editor = {Burghardt, Dirk and Demidova, Elena and Keim, Daniel A.},
isbn = {978-3-031-35374-1},
pages = {43--77},
publisher = {Springer Nature Switzerland},
title = {Efficient Mining of Volunteered Trajectory Datasets},
year = {2024}
}
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Dorian Baltzer, Jan-Henrik Haunert, and Axel Forsch. Visualizing the influence of new public transport infrastructure on travel times. KN - Journal of Cartography and Geographic Information, , 2024.
abstract
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| Due to the global climate change and increasing traffic volumes in cities, a shift from individual to public and multimodal
transport is aspired. Travel time is one of the most important aspects for many people when choosing their mode of trans-
portation. This leads to the requirement that changes in travel times have to be considered when planning new public trans-
port infrastructure. This research paper presents and compares different techniques for visualizing the impact of new lines
in existing public transport networks on travel times. The general approach of simulating timetable data and calculating
intermodal travel times considering public transport and walking is being applied to two current infrastructure projects in
the city of Bonn and the surrounding region. The created maps generally aim to visualize the spread in travel times between
existing and extended transportation networks discretized by different spatial units such as rectangles or postal code areas. In
comparison to other common methods which typically require two maps for two different scenarios (e.g. in case of isochro-
nes), our approach gives the opportunity to combine all relevant information within one map. It is also shown how to apply
bivariate choropleth maps for displaying travel times and how to visualize improvements in the accessibility of multiple
target points of interest at once. @article{Baltzer2024,
abstract = {Due to the global climate change and increasing traffic volumes in cities, a shift from individual to public and multimodal
transport is aspired. Travel time is one of the most important aspects for many people when choosing their mode of trans-
portation. This leads to the requirement that changes in travel times have to be considered when planning new public trans-
port infrastructure. This research paper presents and compares different techniques for visualizing the impact of new lines
in existing public transport networks on travel times. The general approach of simulating timetable data and calculating
intermodal travel times considering public transport and walking is being applied to two current infrastructure projects in
the city of Bonn and the surrounding region. The created maps generally aim to visualize the spread in travel times between
existing and extended transportation networks discretized by different spatial units such as rectangles or postal code areas. In
comparison to other common methods which typically require two maps for two different scenarios (e.g. in case of isochro-
nes), our approach gives the opportunity to combine all relevant information within one map. It is also shown how to apply
bivariate choropleth maps for displaying travel times and how to visualize improvements in the accessibility of multiple
target points of interest at once.},
author = {Baltzer, Dorian and Haunert, Jan-Henrik and Forsch, Axel},
doi = {https://doi.org/10.1007/s42489-024-00167-9},
journal = {KN - Journal of Cartography and Geographic Information},
publisher = {Springer},
title = {Visualizing the Influence of New Public Transport Infrastructure on Travel Times},
url = {https://link.springer.com/article/10.1007/s42489-024-00167-9},
year = {2024}
}
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