拉斯维加斯赌城

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Geoinformatics

  1. University
  2. Faculties
  3. Faculty of Applied Computer Science
  4. Institute of Geography
  5. Chairs and Professors
  6. Geoinformatics
  7. Team
  8. Dr. Chenyu Zuo

Dr. Chenyu Zuo

Research and teaching associate
Geoinformatics
Phone: +49 821 598 2281
Email:
Room: 2031 (B)
Address: Alter Postweg 118, 86159 Augsburg

Contact times only by appointment

Please send a message for setting a time and date.

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Curriculum/Vitae

Education

2022? ? Dr. -ing,?Magna cum laude,?Map-based Dashboard for Social Environment Understanding, Technical University of Munich, Germany

2018? ? M.Sc. Cartography,?Technical University of Munich, Germany

2014????B.Eng. Remote Sensing, Wuhan Univerisity, China

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Professional Experience

Since 2025? ?Postdoctoral Researcher at University of Augsburg, Germany
2023-2025??? Postdoctoral Researcher at ETH Zürich, Switzerland
2018-2022? ? Research associate at?Technical University of Munich, Germany

02/2018 - 05/2018? ? Research assistant at?Technical University of Munich, Germany

11/2017 - 12/2017? ? Working student, Esri Germany, Kranzberg, Germany

07/2014 - 04/2015????Research assistant, Wuhan University, China

Research foci

  • spatial cognition and perception
  • geovisualization, visual analytics,?and?immersive analytics
  • HCI, user experience, and usability

Courses / teaching

Course Home institute Lecturer Semester Type Language

Publications

2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018

2025
Zuo, Chenyu, Wei, Mengyi, Zhang, Puzhen, Chen, Chuan, Meng, Liqiu (2025): Assessing maps for social topic representation: a qualitative content analysis of maps for sustainable mobility. International Journal of Cartography, 11(3), 458-476. https://doi.org/10.1080/23729333.2024.2392212
PDF | BibTeX | RIS | DOI
Wei, Mengyi, Jiao, Chenjing, Zuo, Chenyu, Hurni, Lorenz, Meng, Liqiu (im Druck): Constructing AI ethics narratives based on real-world data: human-AI collaboration in data-driven visual storytelling. preprint. https://doi.org/10.48550/arXiv.2502.00637
BibTeX | RIS | DOI
Zuo, Chenyu, Brülisauer, Fabian, Ivanovic, Stefan, Fu, Cheng (2025): Designing an immersive dashboard for multi-attribute spatiotemporal data. Geo xR Workshop 2025 @ AGILE, Dresden, Germany, 10 June 2025. Hannover: DGfK - Commission on Cartography and AI (CartoAI).
BibTeX | RIS | URL
Zuo, Chenyu, Fu, Cheng, Ivanovic, Stefan, Brülisauer, Fabian (2025): Exploring immersive analytics for spatiotemporal patterns: a case study on origin-destination data. Juha Oksanen, Henrikki Tenkanen, Pyry Kettunen, Ville M?kinen (Eds.): Proceedings of the 19th International Conference on Location Based Services (LBS 2025), Otaniemi, Espoo, Finland, 7-9 May 2025 (session 3, part 3) (pp. 43-48). Genf: Zenodo. https://doi.org/10.5281/zenodo.15351165
PDF | BibTeX | RIS | DOI
Yang, Jian, Chen, Cheng, Zuo, Chenyu, Jia, Fenli, Wang, Guangxia (2025): Exploring map design embedding space: a case study of MapLayNet for map layout recommendation. 2nd CartoAI Workshop 2025 @ AGILE, Dresden, Germany, 10 June 2025. Hannover: DGfK - Commission on Cartography and AI (CartoAI).
BibTeX | RIS
Wei, Mengyi, Zhang, Puzhen, Chen, Chuan, Chen, Dongsheng, Zuo, Chenyu, Meng, Liqiu (2025): Mapping AI ethics narratives: evidence from Twitter discourse between 2015 and 2022. Humanities and Social Sciences Communications, 12(1), 212. https://doi.org/10.1057/s41599-025-04469-9
PDF | BibTeX | RIS | DOI

2024
Wei, Mengyi, Jiao, Chenjing, Zuo, Chenyu, Hurni, Lorenz, Meng, Liqiu (2024): How generative AI supports understanding of an ethically sensitive AI-induced event [Abstract]. Abstracts of the ICA, 8, 26. https://doi.org/10.5194/ica-abs-8-26-2024
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Bala?, Milo?, Grübel, Jascha, Axhausen, Kay W. (2024): OD-Vis: a map-based dashboard for insight discovery of OD data [Abstract]. Abstracts of the ICA, 7, 194. https://doi.org/10.5194/ica-abs-7-194-2024
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Xu, Yifan, Ding, Linfang, Meng, Liqiu (2024): ST-Map: an interactive map for discovering spatial and temporal patterns in bibliographic data. Journal of Geodesy and Geoinformation Science, 7(1), 3-15. https://doi.org/10.11947/j.JGGS.2024.0102
PDF | BibTeX | RIS | DOI
Wei, Mengyi, Feng, Yu, Chen, Chuan, Luo, Peng, Zuo, Chenyu, Meng, Liqiu (2024): Unveiling public perception of AI ethics: an exploration on Wikipedia data. EPJ Data Science, 13(1), 26. https://doi.org/10.1140/epjds/s13688-024-00462-5
PDF | BibTeX | RIS | DOI

2023
Wei, Mengyi, Chen, Chuan, Zuo, Chenyu, Meng, Liqiu (2023): Detecting and visualizing the knowledge structure of AI ethics in Wikipedia data [Abstract]. Abstracts of the ICA, 6, 269. https://doi.org/10.5194/ica-abs-6-269-2023
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Ding, Linfang, Liu, Xiaoyu, Zhang, Hui, Meng, Liqiu (2023): Map-based dashboard design with open government data for learning and analysis of industrial innovation environment. International Journal of Cartography, 9(1), 97-113. https://doi.org/10.1080/23729333.2022.2049106
BibTeX | RIS | DOI
Grübel, Jascha, Vivar Rios, Carlos, Zuo, Chenyu, Ossey, Sabrina, Franken, Robin M., Balac, Milos, Xin, Yanan, Axhausen, Kay W., Raubal, Martin, Riba-Grognuz, Oksana (2023): Outlining the Open Digital Twin Platform. Hui Yu, Amir Hussian, Liang Hu, Jiande Sun, Chen Lv (Eds.): 2023 IEEE Smart World Congress (SWC), 28-31 August 2023, Portsmouth, UK (pp. 1-3). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/swc57546.2023.10448743
BibTeX | RIS | DOI
Keler, Andreas, Ludwig, Sylvia, Zuo, Chenyu (2023): Using interactive space-time cube visualisation for pattern mining in bicycle trajectories and traffic-related parameters. 31st Geographical Information Science Research UK (GISRUK) Conference, 19th-21st April 2023, Glasgow, Scotland. Zenodo. https://doi.org/10.5281/zenodo.7839557
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Grübel, Jascha (2023): Using map-based dashboard to improve geo-knowledge communication: a use case on Digital Twins [Abstract]. Abstracts of the ICA, 6, 295. https://doi.org/10.5194/ica-abs-6-295-2023
PDF | BibTeX | RIS | DOI

2022
Zuo, Chenyu (2022): Map-based dashboard for social environment understanding. München: Technische Universit?t München, School of Engineering and Design.
BibTeX | RIS | URL
Dissertation, Technische Universit?t München, 2022
Ludwig, Sylvia, Keler, Andreas, Zuo, Chenyu (2022): Method development for the visualisation of bicycle trajectories and traffic related parameters by a space-time cube. Jukka M. Krisp, Liqiu Meng, Holger Kumke, Haosheng Huang (Eds.): Proceedings: 17th International Conference on Location Based Services (LBS2022), Munich / Augsburg, Germany, September 12th-14th, 2022 (pp. 147-148). Munich: Technical University Munich.
BibTeX | RIS | URL
Zuo, Chenyu, Ding, Linfang, Yang, Zhuo, Meng, Liqiu (2022): Multiscale geovisual analysis of knowledge innovation patterns using big scholarly data. Annals of GIS, 28(2), 197-212. https://doi.org/10.1080/19475683.2022.2027012
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Gao, Mengyao, Ding, Linfang, Meng, Liqiu (2022): Space-time cube for visual queries over metadata of heterogeneous geodata. KN - Journal of Cartography and Geographic Information, 72(1), 29-39. https://doi.org/10.1007/s42489-022-00096-5
BibTeX | RIS | DOI

2021
Zuo, Chenyu, Ding, Linfang, Meng, Liqiu (2021): The reading strategies of a map-based dashboard – acquisition and assessment [Abstract]. Abstracts of the ICA, 3, 331. https://doi.org/10.5194/ica-abs-3-331-2021
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Zhuo, Y., Ding, L., Meng, L. (2021): Visual analysis of the knowledge innovation environment using big scholarly data. 17th International Conference on Computational Urban Planning and Urban Management (CUPUM 2021), June 9-11, 2021, Helsinki, Finland, online.
BibTeX | RIS
Zhang, Hui, Zuo, Chenyu, Ding, Linfang (2021): Visualizing spatiotemporal epidemic clusters on a map-based dashboard: a case study of early COVID-19 cases in Singapore. Proceedings of the ICA, 4, 117. https://doi.org/10.5194/ica-proc-4-117-2021
PDF | BibTeX | RIS | DOI

2020
Zuo, Chenyu, Ding, Linfang, Meng, Liqiu (2020): A feasibility study of map-based dashboard for spatiotemporal knowledge acquisition and analysis. ISPRS International Journal of Geo-Information, 9(11), 636. https://doi.org/10.3390/ijgi9110636
PDF | BibTeX | RIS | DOI

2019
Zhu, Ruoxin, Lin, Diao, Jendryke, Michael, Zuo, Chenyu, Ding, Linfang, Meng, Liqiu (2019): Geo-tagged social media data-based analytical approach for perceiving impacts of social events. ISPRS International Journal of Geo-Information, 8(1), 15. https://doi.org/10.3390/ijgi8010015
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Ding, Linfang, Bogucka, Edyta Paulina, Meng, Liqiu (2019): Map-based dashboards versus storytelling maps. Georg Gartner, Haosheng Huang (Eds.): Adjunct proceedings of the 15th International Conference on Location Based Services (LBS 2019), 11–13 November 2019, Vienna, Austria (pp. 19-24). Wien: TU Wien. https://doi.org/10.34726/lbs2019.33
PDF | BibTeX | RIS | DOI
Zhu, Ruoxin, Zuo, Chenyu, Lin, Diao (2019): Research on event perception based on geo-tagged social media data. Proceedings of the ICA, 2, 157. https://doi.org/10.5194/ica-proc-2-157-2019
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Liu, Bing, Ding, Linfang, Bogucka, Edyta Paulina, Meng, Liqiu (2019): Usability test of map-based interactive dashboards using eye movement data. Georg Gartner, Haosheng Huang (Eds.): Adjunct proceedings of the 15th International Conference on Location Based Services (LBS 2019), 11–13 November 2019, Vienna, Austria (pp. 265-270). Wien: TU Wien. https://doi.org/10.34726/lbs2019.34
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Zuo, Chenyu, Ding, Linfang, Meng, Liqiu (2019): Visual analytics for regional economic environment factors based on a dashboard design. Proceedings of the ICA, 2, 158. https://doi.org/10.5194/ica-proc-2-158-2019
PDF | BibTeX | RIS | DOI

2018
Zuo, Chenyu, Ding, Linfang, Gartner, Georg, Jendryke, Michael (2018): Extraction and visual analysis of negative traffic events from Weibo data. Peter Kiefer, Haosheng Huang, Nico Van de Weghe, Martin Raubal (Eds.): Adjunct proceedings of the 14th International Conference on Location Based Services (LBS 2018), 15-17 January 2018, Zurich, Switzerland (pp. 127-134). Zurich: ETH Zurich. https://doi.org/10.3929/ethz-b-000225604
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