Published in: LIPIcs, Volume 315, 16th International Conference on Spatial Information Theory (COSIT 2024)
Arnav Mardia, Sichen Jin, Kathleen M. Carley, Yu-Ru Lin, Zachary P. Neal, Patrick Park, and Clio Andris. The Senators Problem: A Design Space of Node Placement Methods for Geospatial Network Visualization (Short Paper). In 16th International Conference on Spatial Information Theory (COSIT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 315, pp. 19:1-19:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
@InProceedings{mardia_et_al:LIPIcs.COSIT.2024.19, author = {Mardia, Arnav and Jin, Sichen and Carley, Kathleen M. and Lin, Yu-Ru and Neal, Zachary P. and Park, Patrick and Andris, Clio}, title = {{The Senators Problem: A Design Space of Node Placement Methods for Geospatial Network Visualization}}, booktitle = {16th International Conference on Spatial Information Theory (COSIT 2024)}, pages = {19:1--19:9}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-330-0}, ISSN = {1868-8969}, year = {2024}, volume = {315}, editor = {Adams, Benjamin and Griffin, Amy L. and Scheider, Simon and McKenzie, Grant}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2024.19}, URN = {urn:nbn:de:0030-drops-208346}, doi = {10.4230/LIPIcs.COSIT.2024.19}, annote = {Keywords: Spatial networks, Political networks, Social networks, Geovisualization, Node placement} }
Published in: LIPIcs, Volume 307, 30th International Conference on Principles and Practice of Constraint Programming (CP 2024)
Erdem Kuş, Özgür Akgün, Nguyen Dang, and Ian Miguel. Frugal Algorithm Selection (Short Paper). In 30th International Conference on Principles and Practice of Constraint Programming (CP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 307, pp. 38:1-38:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
@InProceedings{kus_et_al:LIPIcs.CP.2024.38, author = {Ku\c{s}, Erdem and Akg\"{u}n, \"{O}zg\"{u}r and Dang, Nguyen and Miguel, Ian}, title = {{Frugal Algorithm Selection}}, booktitle = {30th International Conference on Principles and Practice of Constraint Programming (CP 2024)}, pages = {38:1--38:16}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-336-2}, ISSN = {1868-8969}, year = {2024}, volume = {307}, editor = {Shaw, Paul}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2024.38}, URN = {urn:nbn:de:0030-drops-207239}, doi = {10.4230/LIPIcs.CP.2024.38}, annote = {Keywords: Algorithm Selection, Active Learning} }
Published in: LIPIcs, Volume 177, 11th International Conference on Geographic Information Science (GIScience 2021) - Part I (2020)
Jaehee Park, Hao Zhang, Su Yeon Han, Atsushi Nara, and Ming-Hsiang Tsou. Estimating Hourly Population Distribution Patterns at High Spatiotemporal Resolution in Urban Areas Using Geo-Tagged Tweets and Dasymetric Mapping. In 11th International Conference on Geographic Information Science (GIScience 2021) - Part I. Leibniz International Proceedings in Informatics (LIPIcs), Volume 177, pp. 10:1-10:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
@InProceedings{park_et_al:LIPIcs.GIScience.2021.I.10, author = {Park, Jaehee and Zhang, Hao and Han, Su Yeon and Nara, Atsushi and Tsou, Ming-Hsiang}, title = {{Estimating Hourly Population Distribution Patterns at High Spatiotemporal Resolution in Urban Areas Using Geo-Tagged Tweets and Dasymetric Mapping}}, booktitle = {11th International Conference on Geographic Information Science (GIScience 2021) - Part I}, pages = {10:1--10:16}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-166-5}, ISSN = {1868-8969}, year = {2020}, volume = {177}, editor = {Janowicz, Krzysztof and Verstegen, Judith A.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2021.I.10}, URN = {urn:nbn:de:0030-drops-130456}, doi = {10.4230/LIPIcs.GIScience.2021.I.10}, annote = {Keywords: Population Estimation, Twitter, Social Media, Dasymetric Map, Spatiotemporal} }
Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)
Chi-Feng Yen, Ming-Hsiang Tsou, and Chris Allen. Assessing Neighborhood Conditions using Geographic Object-Based Image Analysis and Spatial Analysis (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 70:1-70:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
@InProceedings{yen_et_al:LIPIcs.GISCIENCE.2018.70, author = {Yen, Chi-Feng and Tsou, Ming-Hsiang and Allen, Chris}, title = {{Assessing Neighborhood Conditions using Geographic Object-Based Image Analysis and Spatial Analysis}}, booktitle = {10th International Conference on Geographic Information Science (GIScience 2018)}, pages = {70:1--70:7}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-083-5}, ISSN = {1868-8969}, year = {2018}, volume = {114}, editor = {Winter, Stephan and Griffin, Amy and Sester, Monika}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.70}, URN = {urn:nbn:de:0030-drops-93983}, doi = {10.4230/LIPIcs.GISCIENCE.2018.70}, annote = {Keywords: neighborhood conditions assessment, geographic object-based image analysis, spatial analysis} }
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